# &above > &above is a London AI product agency and embedded AI build partner (andabove.com). We work across two pillars: AI Workflows & Agents, automating the processes a team runs every week into systems the client owns, and AI Product Development, building the AI-native products their customers use. Embedded forward-deployed engineers and product squads, hired and managed by &above, working inside your team so you build in-house without the in-house burden. Clients include Google, Google Cloud, Tesco, Sage, Revolut, Oxford Quantum Circuits, Upstix, Simplestream, and YourAvatar. Canonical Origin: https://www.andabove.com/ **Notes:** Machine access: every page has a markdown twin at the same path with a .md suffix (the homepage is /index.md), HTML routes honour Accept: text/markdown content negotiation, and /llms-full.txt carries the full site content in one file. Unknown paths return HTTP 404 with a markdown body linking back here. &above works across two pillars, split by what the client is buying. AI Workflows & Agents automates the work inside the business: the processes a team runs every week, built into agents that work from what the business already knows. It starts with Workflow Design, then embedded forward-deployed engineers building on Agent Mesh, the connected agent framework the client owns. AI Product Development builds what customers use: a Proof of Concept, an AI Product Squad to ship it, and a Design Squad to take it to market. Proof in production: an agent system used by 5,000 Google Cloud sellers with 64% time saved against the sampled manual workflow; Tesco retail-media creative from four weeks to days. HQ: The Binary, 27 Copperfield Street, London SE1 0EN. ## LLM Resources - [Full Content](https://www.andabove.com/llms-full.txt): Complete page content in markdown format. ## Services - [AI consultancy & product development](https://www.andabove.com/services): The full service offering - AI Workflows & Agents for the work inside the business, and AI Product Development for what customers use - with the first step for each, outcomes, testimonials, and FAQs. - [AI agency](https://www.andabove.com/services/ai-agency): AI agency in London - AI automation, AI agent development, and AI software development under one embedded team. - [AI agent development](https://www.andabove.com/services/ai-agent-development): AI agent development company - custom agentic AI, AI integration services, and enterprise AI solutions connected to real tools and data. - [Forward-deployed engineers](https://www.andabove.com/services/forward-deployed-engineers): Forward-deployed engineers as a service - senior AI engineers embedded in your team, hired and managed by &above, so you build in-house without the in-house burden. - [AI product design](https://www.andabove.com/services/ai-product-design): AI product design agency - design embedded with AI engineering, so agentic products ship to production designed for trust and daily use. - [Digital product agency](https://www.andabove.com/services/digital-product-agency): London digital product development agency - strategy, design, and engineering for AI-native web and mobile products. - [Contact](https://www.andabove.com/contact): Start a conversation about AI strategy, a proof of concept, or a product build. ## Work - [Our work](https://www.andabove.com/work): Case studies across AI discovery, product builds, and agent systems. - [Google: AI sales agent for 5,000 Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions): AI agent development for Google Cloud - &above built the Gemini Sales Sidekick, an AI sales agent used by 5,000 sellers monthly with a 64% time saving. - [OQC: brand & website for a $100M Series B](https://www.andabove.com/work/oqc/building-the-future-of-quantum-computing): Digital product and brand design for OQC - &above repositioned Oxford Quantum Circuits with a new brand, website and investor story ahead of a $100M Series B. - [Revolut: 12 fintech launches across 7 markets](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand): Fintech product design for Revolut - &above helped launch 12 products across seven markets, reaching 30 million users at Europe's fastest-growing fintech. - [Sage: campaign data to AI creative intelligence](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence): AI agent development for Sage - a conversational Creative Intelligence Agent on Gemini and Google Cloud that turns campaign data into instant insights. - [Simplestream: one modular video platform brand](https://www.andabove.com/work/simplestream/reimagining-an-innovative-video-platform): Digital product design for Simplestream - &above repositioned eight products and 20+ solutions as one powerful, modular video platform brand and website. - [Tesco creative compliance AI: 4 weeks to days](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days): Creative compliance AI for Tesco Retail Media - &above cut creative approval cycles from four weeks to days with an AI compliance engine and ad builder. - [Upstix: property app cuts operating costs 78%](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes): Digital product development for Upstix - instant AI valuations, AI call agents and a Next.js app that cut operating costs 78% and grew qualified leads 7x. - [YourAvatar: AI companion agents for care homes](https://www.andabove.com/work/youravatar/agent-companions-to-end-isolation): AI agent development for YourAvatar - &above turned an AI companion prototype into a launch-ready platform for care homes, families and elderly users. ## Company - [About](https://www.andabove.com/about): The entrepreneurs, strategists, designers & engineers behind &above. - [Careers](https://www.andabove.com/careers): Open roles and how we work. - [Feed](https://www.andabove.com/feed): Insights on AI strategy, agents, and digital product development. - [Webinar: Grow AI adoption](https://www.andabove.com/webinars/ai-metrics): Executive webinar on the metrics that show whether AI is changing how people work and creating value. - [Webinar: Build vs buy](https://www.andabove.com/webinars/build-vs-buy): Executive webinar, available on demand - how to bring AI to your team's workflows in-house, do it well, and skip the burden. ## Insights - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem): Adopting AI is easy. Creating value with it is harder. The organisations getting it right are the ones that already knew how to experiment, learn and adapt. - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy): Hiring an AI engineer is a milestone, not a strategy. Real AI transformation pairs internal capability with external expertise. - [The fastest way to waste money on AI](https://www.andabove.com/feed/the-fastest-way-to-waste-money-on-ai): Most organisations start with the technology, not the problem. AI is a capability, not a strategy - the best projects begin with friction. - [Native agent identity isn't the finish line](https://www.andabove.com/feed/native-agent-identity-isnt-the-finish-line): Borrowed or native, broad or narrow - agent identity is two problems, not one. - [The race to become your single interface](https://www.andabove.com/feed/the-race-to-become-your-single-interface): Software is consolidating into a single agent layer. As tools become infrastructure, value shifts to data, memory, and context - design for agents too. - [AI productivity: why more output hasn’t meant less work](https://www.andabove.com/feed/the-illusion-of-ai-productivity-why-more-output-hasnt-meant-less-work): GenAI helped people create more, faster but it didn’t automatically make work easier, because outputs still need review, refinement and integration. - [AI is a forcing function, not a feature](https://www.andabove.com/feed/ai-is-a-forcing-function-not-a-feature): AI hasn’t killed industries it has lowered the barrier to entry and exposed how outdated many business operations really are. - [AI Doesn’t Reward Activity. It Rewards Coherence](https://www.andabove.com/feed/ai-doesnt-reward-activity-it-rewards-coherence): Most AI initiatives fail because strategy, speed, and adoption are disconnected. AI-native businesses win through coherence, not activity. - [Onboarding a mind](https://www.andabove.com/feed/onboarding-memory-capture-learnings): How structured Q&A and open-ended prompts affect AI memory recall - and why hybrid onboarding creates more reliable avatar experiences. - [Building AI that delivers business value: founder Q&A](https://www.andabove.com/feed/building-ai-that-delivers-business-value-q-and-a-with-our-founder): A deep dive into our founder’s journey, practical AI use cases, agentic systems, and how companies can scale AI from quick wins to real business value. - [The AI payoff starts with the problems you’ve been avoiding](https://www.andabove.com/feed/the-ai-payoff-starts-with-the-problems-youve-been-avoiding): AI investments fail without the right foundation. Learn how to build organisational, technological, and strategic readiness for measurable AI impact. - [&above welcomes Phil Miles as Non-Executive Chairperson](https://www.andabove.com/feed/above-welcomes-phil-miles-as-non-executive-chairperson): &above appoints Phil Miles as Non-Executive Chairperson, marking a new phase of growth as the studio expands its leadership and pursues ambitious goals. ## Pages ### AI is a forcing function, not a feature | &above Source: https://www.andabove.com/feed/ai-is-a-forcing-function-not-a-feature Description: AI hasn’t killed industries it has lowered the barrier to entry and exposed how outdated many business operations really are. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI is a forcing function, not a feature `AI` *3 Jun 2026* ![AI is a forcing function, not a feature](https://www.andabove.com/content-media/feed/ai-is-a-forcing-function-not-a-feature/hero.gen.jpg) We’re in the noisiest phase of AI right now - bold claims, hot takes, ‘AI just killed X industry’ posts everywhere. Unapologetic, audacious claims. But AI hasn’t killed anything. What it’s done is lower the barrier to entry and increase the rate of change. That’s not destruction, it’s redistribution and it’s creating a dangerous distraction. Because while everyone’s arguing about whether AI is revolutionary or overhyped, the real work is being ignored. That work isn’t sexy. It’s not model releases or product demos. It’s operational redesign. Right now, most companies are treating AI like an add-on. Another layer in an already bloated stack, another initiative, another squad. And that’s exactly why they’re struggling. Because AI isn’t a feature, it’s a forcing function. It forces you to ask better questions - Why do we work like this? Why do we pay for tools we barely use? Why are processes so fragmented? When you follow those questions properly, you don’t end up with ‘AI adoption.’ You end up with a fundamentally different business. One where workflows are rebuilt, not patched, tooling is rationalised, not expanded and people understand both the why and the how. That’s where the real value sits. But it requires something most organisations are uncomfortable with - change at a structural level. Instead, they default to safer moves - launching AI squads, publishing playbooks and announcing they’re ‘AI-first’. It looks good. It sounds good. It doesn’t actually do much. Meanwhile, a different kind of company is emerging. Quieter, more focused. They’re not talking about AI constantly. They’re using it to rebuild cost structures, create custom workflows and move faster with fewer dependencies. They’re questioning everything. And that’s the real shift. Because the biggest impact of AI won’t be who uses it. It’ll be who uses it to rethink how their business fundamentally operates. The hype will fade, the noise will settle. And when it does, the gap between the companies that talked about AI and the ones that rebuilt around it will be painfully obvious. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Embedded AI Engineers vs. Traditional Consultancies: A Guide for Leaders | &above Source: https://www.andabove.com/feed/embedded-ai-engineers-vs-traditional-consultancies Description: Deciding between hiring your own AI engineers or using an agency? Learn how embedded AI squads compare to traditional consulting models for building internal capability. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Embedded AI engineers vs. traditional consultancies: a guide for leaders `AI` *8 Sept 2026* ![Embedded AI engineers vs. traditional consultancies](https://www.andabove.com/content-media/press/press-particles-triangle.gen.webp) Leaders choosing how to build AI capability usually frame the decision as hire or outsource. The more useful split is between partners who ship working systems inside your workflows and partners who deliver transformation programmes at scale. This guide compares embedded AI engineering - senior engineers and product squads working inside your team - with the traditional consultancy model used by firms like Cognizant, Thoughtworks, DataArt and Deloitte Digital, and explains when each fits. h2. Evaluating &above for AI product engineering &above is an AI product agency based in London, working with scale-ups and enterprises. The delivery model is embedded and product-focused: external engineers work inside your team, on your codebase and your tools, and are measured on whether the system runs in production rather than on documents delivered at the end of a phase. That is a different shape from a traditional enterprise consultancy. Large firms like Cognizant, Thoughtworks, DataArt and Deloitte Digital bring deep benches, governance machinery and the scale to run multi-country transformation programmes. Strategy, delivery and change management are often separate teams. The senior people who win the engagement are not always the people writing code. Progress is tracked through steering committees and milestone documents. That model fits when the primary job is coordination, compliance and risk management across a complex vendor landscape - less well when the goal is a working AI product in a specific workflow within weeks. We optimise for the second case. Engagements start small and reversible: a workshop to find where AI creates genuine value, a proof of concept against real use cases, then an embedded squad once the technical path is clear. The aim is not a broad transformation roadmap that sits in a drawer - it is software your team or customers actually use. Delivery runs in two tiers, depending on what is missing. The first is [forward-deployed engineers](https://www.andabove.com/services/forward-deployed-engineers.md): senior AI engineers embedded directly in your team when the gap is technical - you know roughly what needs building and need capacity or specific expertise to build it. The second is an AI product squad: the same embedded engineers plus product management and design, for when the harder question is what to build and for whom, not just how. That is generalist staffing with a product lens, not a bench of interchangeable contractors assigned to tickets. The work is checkable. We built the agent system now supporting [5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md), from concept to production in 90 days. An embedded squad of ten ran inside Tesco for two and a half years, cutting retail-ad creative compliance reviews from four weeks to days. We shipped [AI property valuations for Upstix in seven days](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) and built the [Creative Intelligence agent for Sage](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md). Across product and design work, we have supported partners through $3.25bn in funding rounds. Treat this section with the scepticism you would apply to any vendor describing its own category - but the outcomes are on public case studies, not slide decks. h2. Embedded AI engineering vs. traditional consultancies The decision most leaders are actually making is not agency versus in-house. It is how to build internal AI capability without taking on all the hiring risk and management overhead at once, and without signing a high-commitment consulting contract before anyone knows whether the use case works. Hiring your own AI engineers is the right long-term answer once AI is core to your product and you know what you are building. It is a risky first move for most teams. Good AI engineers are scarce, ramp-up on your domain takes months, and a single hire is routinely asked to carry strategy, evaluation, build and adoption at once. Forward-deployed engineers give you senior capacity inside your team without the recruitment timeline or the cost of a hire that does not work out - managed by the partner, working in your environment, judged on production outcomes rather than hours billed. Traditional consultancies solve a different problem: assurance, governance and reach across many stakeholders and countries. The trade-off is distance from the work and knowledge that often walks out when the engagement ends. Strategy teams hand over to implementation teams; implementation teams hand over to your internal staff; the people who understood the original constraints are gone before the second iteration ships. Embedded engineering removes the handoff by design - there is no separate delivery centre, because the people who scoped the workflow are the people maintaining it in your repositories. Knowledge transfer is the difference that compounds. A consultancy that delivers a finished build and leaves you a support contract has sold a deployment. An embedded squad that works alongside your engineers, in your standups, on your data, leaves capability that stays when the engagement scales back - your team has seen how production-ready AI gets built, not just inherited a codebase they did not write. That is the model behind the two-and-a-half-year Tesco engagement: not a one-off project, but a standing capability embedded until the internal team could extend what was shipped. Reversibility matters as much as speed. Large consultancy engagements often open with multi-month discovery and governance phases before anything runs in production. Our sequencing - workshop, proof of concept, embedded squad - lets you produce evidence before committing serious budget. If the PoC shows the use case is wrong, you stop. If it works, you expand with people who already know your stack. That is a lower-commitment path than a multi-year transformation programme, and a faster path to evidence than hiring a team from scratch. None of this means traditional consultancies are the wrong choice. If your programme is fundamentally about rolling out AI policy across dozens of markets, integrating with a landscape of legacy vendors and satisfying regulators, a Cognizant or Deloitte Digital has machinery built for exactly that. If the goal is a working agent connected to your real tools, an automation running in a specific workflow, or software your customers actually use, an embedded specialist squad is usually the more direct route. Most organisations that get this right do both over time: a large firm or internal team owns governance and long-term roadmap, while embedded squads open new ground on unproven technical paths. For a fuller walk-through of the build, buy and embed options, see [AI agency vs in-house: build, buy or embed](https://www.andabove.com/feed/ai-agency-vs-in-house-build-buy-or-embed.md) and [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md). If you want an honest read on whether you need a consultancy at all - and which model fits the work in front of you - [get in touch](https://www.andabove.com/contact.md) and we will tell you what we would do in your position. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Future-ready brand identity with strategy & AI | &above Source: https://www.andabove.com/feed/above-shaping-future-ready-brand-identity-in-london-through-strategy-creativity-and-ai Description: Transform your business with our brand identity agency. From strategic positioning to visual storytelling, we build memorable, trusted brands that resonate. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Shaping future-ready brand identity with strategy & AI `Branding` *17 Nov 2025* ![Shaping future-ready brand identity with strategy & AI](https://www.andabove.com/content-media/feed/above-shaping-future-ready-brand-identity-in-london-through-strategy-creativity-and-ai/hero.gen.jpg) h2. What Is a Brand Identity Agency? A brand identity agency builds, refines, and activates the DNA of a brand - from strategic positioning and research, through to visual storytelling and systematised brand assets. The goal is to make brands memorable, trusted, and resonant in competitive markets.​ h2. &above: A Leading Brand Identity Agency, London Based in London, &above engineers high-impact brand identities for ambitious digital companies, pairing deep strategy with award-winning design and technology expertise. Our holistic approach sets them apart, offering everything from business interviews to competitor analysis, naming, tone of voice, and visual identity, followed by hands-on activation across campaigns, websites, and platforms.​ h2. Services Include: - Strategy & Research: In-depth interviews and behavioural insights map out clear differentiation and unique selling propositions. - Positioning & Naming: Messaging, market analysis, and legal checks ensure exclusive, meaningful brand language. - Visual Identity: From logos and icons to dynamic brand systems and scalable assets. - Guidelines & Asset Libraries: Empowering brands to scale globally with consistency.​ - Digital Roll-out: Templates, UI systems, and motion graphics for online and mobile success. h2. Enhancing Brand Identity: The &above Method &above’s brand identity services combine strategic research, creative storytelling, and AI-enabled design systems to develop distinctive brands that humanise complex offerings. Trusted by scale-ups and leaders like Google, Revolut, and Ad-Lib, &above transforms technology narratives into engaging digital experiences. Their agile team delivers:​ - Behaviour-driven insights to unlock authentic brand values. - Data-powered differentiation with competitor research. - Adaptive, personalised brand assets designed for all platforms and touchpoints.​ h2. AI and the Future of Brand Identity in 2026 In 2026, brand identity agencies are evolving rapidly as artificial intelligence becomes central to research, creative design, and activation.​ Key Trends: - AI-Generated Design Assets: Agencies leverage AI to produce dynamic logos, adaptive colour schemes, and responsive visual identities that tailor to campaign, region, or audience. Expect brand marks that change shape, palette, or animation based on channel and user segment.​ - Personalisation at Scale: AI tools segment audiences, predict behaviours, and create micro-targeted messaging and visuals. Brands using AI for hyper-personalisation build more trust and retention in competitive sectors.​ - Dynamic Brand Guidelines: Advanced brand systems update automatically as brand stories, products, or markets shift, helping companies maintain relevance globally and locally.​ - AI-Driven Storytelling: Generative AI analyses conversations, reviews, and social listening to surface new brand narratives, ensuring that messaging evolves with the consumer and digital landscape.​ - Speed and Scalability: AI-powered workshops, data analysis, and visual prototyping halve turnaround times for brand activation and site launches. This agility is particularly critical for London’s fast-moving tech and finance sectors.​ - Trust and Authenticity: With the rise of deepfake content, consumer expectations for authentic, ethically managed brand identity will intensify. Agencies are embracing AI tools to monitor reputation, verify digital assets, and maintain trust in increasingly synthetic environments.​ h2. How Will Brand Identity Evolve with AI in 2026? The next evolution will see brand identities become live, responsive entities: - Brands will use AI to personalise digital experiences for every customer, making every touchpoint feel bespoke.​ - Visual systems will shift from static guidelines to flexible, AI-modified templates - appearing differently by device, platform, or region, but always on-brand.​ - Data-driven insights will shape not only what a brand looks and sounds like but also how it behaves, interacts, and adapts to future trends. Agencies rooted in London’s dynamic market, like &above, are positioned to lead this transformation, blending strategic vision with technical execution and AI-enabled creativity to address new brand challenges. h2. Conclusion: Why Partner with &above, Brand Identity Agency London Choosing &above means working with a brand identity agency in London that combines cutting-edge strategy, creativity, and technology, all informed by future-focused AI innovation. Our services don’t just create logos or colour palettes; they build integrated brand systems, dynamic narratives, and authentic customer experiences that thrive amidst rapid digital change. Early adoption of these trends is critical for brands that want to stand apart as AI sets new standards for trust, adaptability, and relevance. With &above, businesses are equipped to not just keep up, but to lead and inspire as brand identity moves boldly into 2026. ![Inline Image 1](https://www.andabove.com/content-media/feed/above-shaping-future-ready-brand-identity-in-london-through-strategy-creativity-and-ai/inline_1.gen.jpg) h2. Brand Identity Agency London: &above – Frequently Asked Questions (FAQ) h2. What does a brand identity agency do, and how does &above approach this in London? A brand identity agency like &above specialises in creating the strategic and visual DNA of your business, defining purpose, values, visual systems, messaging, and digital presence. &above fuses in-depth research, creative technology, and strategic design to deliver unified, adaptable brands for ambitious companies in London and beyond. Our process includes stakeholder discovery, competitor analysis, positioning, naming, visual identity, and guidelines that enable seamless rollout across all touchpoints.​ h2. How does &above use AI to enhance brand identity for clients? &above leverages AI in three main ways: - AI-powered design tools generate dynamic logos, modular identity systems, and hyper-personalised brand assets.​ - Advanced analytics help uncover audience preferences, content performance, and market trends, informing more authentic and effective brand stories. - AI monitors digital channels to guard against misuse, support reputation management, and maintain brand consistency as campaigns scale globally.​ h2. What are the biggest trends in brand identity for 2026? Key trends include: - Adaptive branding: Visual identities that evolve in real time based on audience data, location, and campaign context.​ - AI-assisted creativity: Machine learning accelerates concept generation, copywriting, and ideation, empowering studios to iterate faster and launch sharper campaigns.​ - Personalisation at scale: Brands deliver tailored messaging, visuals, and experience flows for hundreds of unique micro-audiences, building trust and loyalty.​ - Interactive brand systems: Dynamic guidelines and digital assets update autonomously as the business, market, or strategy evolves.​ ![Inline Image 2](https://www.andabove.com/content-media/feed/above-shaping-future-ready-brand-identity-in-london-through-strategy-creativity-and-ai/inline_2.gen.jpg) h2. How long does a typical branding project with &above take? Project timelines vary with scope, but a comprehensive brand identity process—from research through strategy, visual identity, and rollout- can take from 8 weeks to 6 months, depending on your company’s needs and the complexity of assets to be produced.​ h2. What’s the difference between a brand identity agency and a digital marketing agency? A brand identity agency defines and builds the core essence and visual universe of a business, covering logo, messaging, story, purpose, and system-wide guidelines. A digital marketing agency focuses on promoting products, running campaigns, and managing communications for lead generation and sales using digital channels. A strong brand identity, crafted by a dedicated agency like &above, prepares the foundation for effective marketing and business growth.​ h2. How does &above ensure a brand identity remains futureproof and adaptable? By using modular design systems, AI-powered analytics, and cloud-based brand libraries, &above enables every client to evolve their identity as products, audiences, and markets shift. Regular trend analysis and collaborative workshops keep brands at the leading edge, ready for disruption, today and in 2026.​ h2. Is &above experienced with industry-specific brand identity challenges? Yes, &above works with tech, finance, eCommerce, SaaS, and creative sectors, tailoring strategies to industry nuances and audience expectations in London and international markets. The team’s experience spans startups, scale-ups, and established enterprises, with an agile approach that adapts to each business model.​ h2. How can my company get started with &above? Contact &above for a discovery session or workshop, where the team will analyse your goals, challenges, and vision. This kicks off a clear, collaborative pathway from insight to activation, ensuring your new brand identity delivers lasting business impact in a fast-changing digital landscape. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Phil Miles joins &above as Non-Exec Chairperson | &above Source: https://www.andabove.com/feed/above-welcomes-phil-miles-as-non-executive-chairperson Description: &above appoints Phil Miles as Non-Executive Chairperson, marking a new phase of growth as the studio expands its leadership and pursues ambitious goals. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. &above welcomes Phil Miles as Non-Executive Chairperson `Company` *3 Jul 2025* ![&above welcomes Phil Miles as Non-Executive Chairperson](https://www.andabove.com/content-media/feed/above-welcomes-phil-miles-as-non-executive-chairperson/hero.gen.jpg) Product Studio, &above, has announced the appointment of Phil Miles as Non-Executive Chairperson as the business moves towards a new phase of development. After seven years of steady growth, working with high-profile brands, such as Google, YouTube and Revolut, &above has begun establishing a board to further unlock the  potential of the business. Founder and CEO Jordan Richards has brought in Phil Miles as a Non-Executive Chairperson to support this process. Phil Miles spent 17 years working at Google, most recently as YouTube’s UK Head of Sales and is a long-time supporter of &above. With a strong history in tech and advertising, Phil has been operating his own consultancy business since 2023, working with high-calibre tech scale-ups in an advisory capacity. Throughout the years, Phil has acted as a coach to Jordan, and will now be supporting the evolution of &above in a strategic and advisory position as Jordan and the team seek to implement ambitious growth plans. With his strong industry knowledge and experience, Phil can bring a new perspective to the business, helping to more efficiently unite the two arms – brand and product – of &above as it moves towards its long-term goals of tripling revenue and building IP. Jordan Richards, Founder and CEO of &above, comments: ‘It’s been an incredible seven years for &above. The company has grown more quickly and generated more success than I’d ever imagined in the early days. But I now feel that there is significant growing potential for the studio, and we believe that the best way to take advantage of the opportunity and take the entire company to the next level, is by bringing in external advisors. And that’s where Phil comes in. ‘I’ve known and respected Phil as a leader for many years now and I’m delighted that he’s joining us in the position of Non-Executive Chairperson for &above. His breadth of experience within the technology and advertising sectors perfectly positions him to deliver the insights and advice we need to shape the future of the business.’ Phil Miles comments: ‘It’s a real pleasure to take on the role of Non-Executive Chairperson for &above. I’ve known Jordan for many years, and have watched the development of the agency with interest. By bringing together brand and product into a single studio, &above is growing significant tech companies, making it a fascinating company to be involved with. ‘&above is on the cusp of a transformational period, my role will be to provide insights, support, and advice as they seek to cement their longer-term position within the market. It’s an exciting time, and I’m thrilled to be a part of it.’ h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Best AI Consulting Firms in London & the UK (2026) | &above Source: https://www.andabove.com/feed/best-ai-consulting-firms-london-uk-2026 Description: AI consulting firms in London and the UK for 2026, ranked with a clear method, public delivery evidence, buyer fit, and source links. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Best AI Consulting Firms in London & the UK (2026) `AI` *26 Jun 2026* ![Best AI consulting firms in London and the UK 2026](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) AI consulting firms can sell strategy, product design, engineering, systems integration, governance, change, or all of them together. The useful question is not which logo is largest. It is which delivery model fits the work. This guide ranks 13 firms for London and UK buyers using public evidence reviewed on 25 August 2026. It shows the evidence behind each entry and the job that each firm is best equipped to do. h2. The four shapes of AI consulting firm Strategy houses such as McKinsey, BCG, and Bain combine executive strategy with published build and change services. Global systems integrators such as Accenture, Deloitte, IBM, Capgemini, and Cognizant cover implementation across data, cloud, governance, operations, and large system estates. AI specialists such as Faculty focus their offer on AI delivery and safety. Product studios such as &above combine product design and engineering in a smaller embedded team. These are not strict borders. The public service pages for the large firms show that they also build and operate AI systems. h2. How we ranked the firms To qualify, a firm had to publish an AI consulting or delivery offer that a UK buyer can use. We then ordered the firms by five factors: named production work with a measured result; delivery scope from strategy through build, deployment, and change; evidence of enterprise scale; a clear UK service, office, or client; and buyer transparency about methods, delivery, and handover. Named and measured work carries the most weight. Missing public evidence receives no credit, and company claims are attributed to the company. This is an editorial ranking, not an audit. &above publishes this guide and ranks itself, so its ownership is stated here and its work is linked for readers to check. No firm paid for a place. h2. Best AI consulting firms in London & the UK (2026) h3. 1. &above - the AI consulting firm that ships products &above is a London [AI agency](https://www.andabove.com/services/ai-agency.md) and product studio for scale-ups and enterprises. Senior designers, AI engineers, and product specialists work in one embedded team from discovery through production. It is best for a buyer that wants product strategy, design, and engineering in the same delivery team. The public work gives named and measured evidence. The Gemini Sales Sidekick supports [5,000 monthly active Google Cloud sellers and reports a 64% time saving](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md). The [Tesco case](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) reports a change from approval cycles of up to four weeks to days. The [Upstix case](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) reports a 78% operating-cost reduction and seven times more qualified website leads. This is &above's own guide, so check the [AI agency service](https://www.andabove.com/services/ai-agency.md), the linked case studies, and the [contact route](https://www.andabove.com/contact.md) before you shortlist it. h3. 2. McKinsey & Company (QuantumBlack) [QuantumBlack](https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) is McKinsey's AI consulting arm. Its current service page covers AI and data transformation, digital twins, managed services, capability building, and change, with named work for Merck, AAA-ICDR, Toshiba Tec, and Deutsche Telekom. It fits a large transformation that needs executive strategy, domain work, engineering, adoption, and governance. h3. 3. Accenture [Accenture](https://www.accenture.com/us-en/services/ai-data?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) publishes services for data foundations, generative AI, AI strategy and value, responsible AI, workforce change, industrial AI, and its AI Refinery platform. It fits a large enterprise programme that needs data, integration, governance, workforce change, and platform partnerships in one delivery model. h3. 4. Deloitte UK [Deloitte UK](https://www.deloitte.com/uk/en/services/consulting/services/artificial-intelligence-and-data.html?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) says that it defines AI strategy and builds custom AI solutions. It also publishes analytics modernisation, automation, and named work with GoodShape, dsm-firmenich, Rakuten Securities, Compass Group, and WWF. It fits a UK enterprise that needs AI delivery with data, risk, regulatory, or assurance work. We compare the delivery models in [&above vs Deloitte](https://www.andabove.com/feed/start-2026-right-above-vs-deloitte-for-london-based-enterprise-ai-projects.md). h3. 5. Faculty AI [Faculty](https://faculty.ai/en-gb/ai-services?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) publishes AI strategy, design, infrastructure, development, operations, change, due diligence, and safety services from a London office. Its [Cera case](https://faculty.ai/lesson-06-cera?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) says that a model predicted about 80% of possible hospital admissions one week early and helped to avoid at least 52% of admissions. It fits a buyer that wants an AI specialist with public work in health, government, defence, infrastructure, and AI safety. h3. 6. IBM Consulting [IBM Consulting](https://www.ibm.com/consulting/artificial-intelligence?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) says that it designs, builds, and scales AI and agentic AI with data, architecture, security, and governance. Its [trivago case](https://www.ibm.com/case-studies/trivago-copilot?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) reports about 90% daily adoption across about 600 core staff and 16.6 workdays saved per employee in the third year. It fits a large enterprise that needs integration, governance, hybrid cloud, managed services, or support for several model providers. h3. 7. BCG (BCG X) [BCG X](https://www.bcg.com/x/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) is BCG's technology build and design unit. It reports about 3,000 experts in 80 cities and publishes AI, generative AI, product, platform, design, engineering, and build-operate-transfer work. It fits a large company that wants BCG strategy with a product and engineering unit. h3. 8. Bain & Company [Bain & Company](https://www.bain.com/vector-digital/advanced-analytics/artificial-intelligence/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) says that its teams take AI work from strategy and proof of concept to production. Its public method covers value, feasibility, risk, differentiation, the technology stack, operating model, talent, adoption, and change. It fits a strategy-led transformation that also needs use-case build and adoption work. h3. 9. Capgemini [Capgemini](https://www.capgemini.com/services/data-and-ai/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) publishes data and AI foundations, AI products and experiences, go-to-market systems, business-process operations, and AI-powered IT. Its current offer covers generative and agentic AI from strategy to implementation. It fits a large implementation across enterprise data, operations, products, IT, and existing systems. h3. 10. Cognizant [Cognizant](https://www.cognizant.com/us/en/services/ai?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) publishes data and AI strategy, model development, agentic systems, data modernisation, governance, training data, and managed delivery. It reports more than 350,000 staff in more than 40 countries and more than 85 data and AI alliances. It fits a global implementation that needs large delivery capacity, industry systems, and data modernisation. h3. 11. KPMG UK [KPMG UK](https://kpmg.com/uk/en/services/ai.html?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) says that it designs, builds, and scales AI. Its offer combines strategy, technology, governance, business cases, value tracking, and trusted AI work. It fits a UK programme where governance, risk, business value, and regulated delivery are central. h3. 12. EY UK [EY UK](https://www.ey.com/en_uk/services/consulting/artificial-intelligence-consulting-services?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) publishes AI strategy, design, architecture, data, systems integration, programme operations, and risk services. Its ey.ai offer adds governance, security, data controls, sector knowledge, and alliance integration. It fits a UK enterprise transformation that needs AI with broad professional services and formal controls. h3. 13. Elixirr [Elixirr](https://www.elixirr.com/en-gb/case-studies/leading-us-financial-services-group-optimising-campaign-creation-with-ai/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-consulting-firms-london-uk-2026) publishes AI strategy, design, and build work. Its financial-services case reports a six-week proof of concept, content creation that was 21 times faster, and at least 85% brand compliance, but it does not name the client. It fits a smaller transformation or proof of concept that needs consulting, design, data, and build work. h2. Strategy, implementation, or a product? Matching the firm to the need Start with the work. McKinsey, BCG, and Bain fit strategy-led transformations that also need build and change support. Accenture, Deloitte, IBM, Capgemini, and Cognizant fit programmes across many systems, teams, and markets. IBM, Deloitte, KPMG, and EY publish strong governance and risk offers. Faculty fits specialist AI and safety work. &above fits a product that needs design and engineering in one embedded team. A company can use more than one model over time, but the first shortlist must match the first result that the company needs. A large first engagement is not always the right one. A scoped discovery can identify where AI creates measurable value, what data the work needs, and how to test the likely return. It turns 'help us with AI' into a brief for a specific system and a specific problem. h2. What do AI consulting firms cost in the UK? The reviewed firms do not publish a standard engagement price, so a reliable like-for-like price table is not possible from public data. Ask each firm to price the same first outcome and to separate discovery, build, cloud, data preparation, licences, change, and support. Compare the team that will do the work, not only the day rate. A small first engagement with a clear decision or production result limits risk before a larger commitment. Our separate guide explains [how much AI product development costs](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md) and the assumptions behind those estimates. h2. How to choose an AI consulting firm Match the firm to the job, then test a shortlist of two or three. Ask who will do the work and whether the pitch team is the delivery team. Ask for named production systems and measured results. Ask for the smallest useful first engagement. Confirm how the firm will transfer knowledge, code, and infrastructure to your team. Our [guide to choosing an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md) compares a large firm, a specialist squad, and an in-house team. Sometimes [you do not need a consultancy](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) yet. h2. Frequently asked questions h3. What are the best AI consultancies in the UK? For strategy-led transformation, consider McKinsey, BCG, and Bain. For large implementation, consider Accenture, Deloitte, IBM, Capgemini, and Cognizant. For governance and risk, consider IBM, Deloitte, KPMG, and EY. For specialist AI, consider Faculty. For a product designed and built by one embedded team, consider &above. Check the public evidence against the result that you need. h3. Who are the best AI strategy consultants in London? The list includes strategy firms, systems integrators, an AI specialist, and an embedded product studio. Choose McKinsey, BCG, or Bain for a strategy-led transformation; Faculty for specialist AI work; &above for a product that needs design and engineering in one team; and a global integrator when scale, governance, and large system estates define the brief. h3. How much do AI consulting firms cost? Most firms in this guide do not publish standard prices. Ask each one to price the same scope and separate discovery, build, cloud, data, licences, change, and support. A low headline day rate is not a useful comparison if the team size, delivery period, or excluded costs differ. h3. Should we use a big consultancy or a specialist AI studio? Use a large consultancy when the programme needs governance, compliance, and coordination across many markets and systems. Use a specialist studio when one team must design and build a working AI product. Some organisations use a studio for the first production use case, then use a larger firm or an in-house team to govern and scale it. h3. When is AI consulting the wrong first step? When you already know exactly what to build and just need it built, a consulting engagement can add cost and delay - a build partner is the better first move. And when AI is not yet core to a validated use case, the honest answer may be to run a small discovery rather than commission a strategy programme, because building an in-house team or a large plan around an unproven use case is where budgets quietly disappear. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Best AI Product Design Agencies in London (2026) | &above Source: https://www.andabove.com/feed/best-ai-product-design-agencies-in-london-2026 Description: A 2026 guide to the best design-led AI product design agencies in London - studios pairing behavioural design with AI engineering - ranked, with costs and FAQs. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Best AI Product Design Agencies in London (2026) `AI` *6 Mar 2026* ![Best AI product design agencies in London 2026](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) Most AI products don't fail because the model is wrong. They fail because nobody wants to use them. The capability works in the demo, then meets real people with real workflows and quietly goes unused - and no amount of model accuracy rescues an experience people don't trust. That is why design-led AI product agencies matter: the studios that pair behavioural design with AI engineering are the ones whose products actually get adopted. London, with one of the strongest design and product communities in the world, is where a lot of that work happens. This guide ranks the best AI product design agencies in London for 2026, explains what 'design-led' should mean when AI is involved, and covers how to choose and what it costs. h2. Why design-led matters more for AI products AI raises the stakes on product design, because the interface has to make something probabilistic feel trustworthy and controllable. A conventional app either works or it doesn't; an AI product gives answers that are usually right, sometimes wrong, and always in need of a design that helps people judge which is which. The London studios worth your shortlist tend to do three things well. They practise behavioural design, shaping the product around how people actually work rather than around the technology, which research consistently links to dramatically higher adoption. They keep design and engineering in one team, so the AI and the experience are built together rather than handed over a wall and reconciled later. And they run discovery first, deciding what is worth building before designing it, so the craft sits on top of a real use case instead of a speculative one. If you are looking for a design-led AI development agency in London - one that can make an agentic product feel obvious to use - the shortlist below is where to start. h2. How we ranked the best AI product design agencies We weighted evidence of adoption over the beauty of the portfolio. Anyone can show a striking interface; the studios that earn a place here can point to products where design measurably moved a number - sign-ups, activation, retention, task completion - and where AI was designed into the experience rather than bolted on. We looked for teams that put designers and engineers in the same room, that treat discovery and behavioural design as part of the build, and that understand the specific interface problems AI creates: setting expectations, showing confidence and sources, handling errors gracefully, and keeping a human in control. A studio that treats AI design as a separate phase, after the model is built, will hand you something beautiful that never ships. h2. Best AI product design agencies in London for 2026 h3. 1. &above - design-led AI product studio &above is a design-led [AI product agency](https://www.andabove.com/services/digital-product-agency.md) in London that designs and builds AI-native products and agentic systems for scale-ups and enterprises. Design-led and problem-first are core to the model: senior designers, engineers, and AI specialists work as one embedded squad, so behavioural design shapes the product from discovery through to production rather than being applied as a skin at the end. The full approach - AI UX architecture, model-in-the-loop prototyping, and design heritage from Revolut to OQC - is set out in its [AI product design services](https://www.andabove.com/services/ai-product-design.md). The results show the payoff of designing for humans first. Dunnhumby's self-service adoption rose 2.6x and Outperform's sign-ups climbed 210%; &above [reimagined Tesco's retail media from weeks to live in days](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md), delivered [creative-intelligence design for Sage](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md), and [reimagined an innovative video platform for Simplestream](https://www.andabove.com/work/simplestream/reimagining-an-innovative-video-platform.md). It is best for teams that want AI products designed to be adopted, not just shipped. It is our own studio, and the work is public, so judge the design for yourself - or [get in touch](https://www.andabove.com/contact.md). h3. 2. Ustwo [Ustwo](https://www.ustwo.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-product-design-agencies-in-london-2026) is a renowned London studio blending emotional engagement with technical rigour, known for applying game-grade craft to banking and mobility products. It suits consumer-grade AI experiences that need high-fidelity design and a strong sense of delight. h3. 3. Foolproof [Foolproof](https://www.foolproof.co.uk/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-product-design-agencies-in-london-2026) is a London experience-design agency strong in regulated, high-stakes sectors like financial services and energy, where usability and compliance meet. It is a good fit for AI products in complex, regulated environments where trust and clarity are paramount. h3. 4. Pentagram [Pentagram](https://www.pentagram.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-product-design-agencies-in-london-2026) is a design institution in London with unmatched brand and product craft, increasingly applied to digital and AI-enabled experiences. It suits flagship products where brand and design excellence lead the brief. h3. 5. AKQA [AKQA](https://www.akqa.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-product-design-agencies-in-london-2026) is a global design and innovation company with deep London roots, combining brand, product, and emerging-technology work at scale. It suits larger organisations wanting design ambition and AI woven into a broader digital experience. h3. 6. Equal Design [Equal Design](https://www.equal.design/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-product-design-agencies-in-london-2026) offers end-to-end product strategy and full-cycle development, translating concepts into scalable code for complex B2B SaaS and platform products. It is a strong option for companies wanting design and build under one roof. h3. 7. Clearleft [Clearleft](https://clearleft.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-product-design-agencies-in-london-2026) is a respected UX and design consultancy known for research-led product design and design leadership. It suits teams that want rigorous user research and service design underpinning an AI product. h3. 8. IDEO [IDEO](https://www.ideo.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-product-design-agencies-in-london-2026) is a global design-led consultancy with a London presence, bringing deep human-centred design method to AI product work. It suits large organisations wanting design thinking applied at enterprise scale. h2. Behavioural design: the difference between an AI tool and an adopted one The single biggest predictor of whether an AI product delivers value is not the model - it is whether people fold it into their day. Behavioural design is the discipline that makes that happen: designing around existing habits and mental models rather than asking people to change how they work to suit the tool. In practice it means setting honest expectations about what the AI can and cannot do, showing confidence and sources so users can calibrate their trust, designing graceful recovery for the moments the model gets it wrong, and keeping a human clearly in control of consequential actions. Studios that lead with behavioural design tend to ship AI that becomes essential; studios that lead with capability tend to ship AI that impresses once and is quietly abandoned. When you evaluate a partner, ask how they design for trust and adoption, not just how the interface looks. h2. What does AI product design cost in London? Design engagements vary widely with scope. A focused discovery and design sprint - to shape a concept, test it with users, and produce a validated direction - typically runs in the low tens of thousands and is the sensible first step. A full design-and-build of an AI-native product grows from there depending on complexity and how much engineering sits alongside the design; London design and product day rates commonly sit in the mid-to-high three figures, with senior specialist work higher. The most cost-effective route is almost always a studio that combines design and build, because it avoids the expensive gap - and the lost fidelity - that opens up when a separate design agency hands specs to a separate engineering team. We cover the wider economics in [how much AI product development costs](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md). h2. How to choose an AI product design agency Look past the portfolio's aesthetics and ask about outcomes: can they show adoption or conversion lift from an AI product they designed, and do their designers actually sit with their engineers? Ask how they design for trust in a probabilistic system, and how they would take a concept from discovery to a shipped product rather than a prototype. Our companion guides go deeper on the questions to ask - [how to pick the right digital product agency in London](https://www.andabove.com/feed/how-to-pick-the-right-digital-product-agency-in-london.md) and [why UX/UI design is crucial for digital product success](https://www.andabove.com/feed/why-ux-ui-design-is-crucial-for-digital-product-success.md). h2. Frequently asked questions h3. Which agencies specialise in AI product design? &above is a design-led AI product agency pairing behavioural design with AI engineering; Ustwo, Foolproof, Pentagram, AKQA, Equal Design, Clearleft, and IDEO bring strong product and experience design applicable to AI, each with different sector and craft strengths. h3. What are the best design-led AI development agencies in London? For design-led AI development specifically, &above combines discovery, behavioural design, and AI engineering in one embedded team, so design and build move together. Ustwo, Foolproof, and AKQA are strong London design studios extending into AI-enabled products. h3. Why is design so important for AI products? Because most AI products fail on adoption, not capability. Behavioural design builds trust in probabilistic systems and fits them to how people already work - the difference between an AI tool that is ignored and one that becomes essential to someone's day. h3. Should design and engineering be the same team for an AI product? Ideally, yes. When a separate design agency hands specifications to a separate engineering team, fidelity and speed are lost in the gap, and the AI often ends up bolted onto a design that didn't account for it. Studios that combine design and build - like &above - keep the experience and the model in step from the first sprint. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### 5 signs you need a digital product agency | &above Source: https://www.andabove.com/feed/5-signs-you-need-a-digital-product-agency Description: Struggling to launch, scale, or meet customer expectations? Five signs it’s time to partner with a digital product agency. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. 5 signs you need a digital product agency `Product` *12 Mar 2025* ![5 signs you need a digital product agency](https://www.andabove.com/content-media/feed/5-signs-you-need-a-digital-product-agency/hero.gen.jpg) In today’s fast-paced digital landscape, businesses must have cutting-edge digital products - whether it’s a website, mobile app, or SaaS platform - to stay competitive. However, creating and managing these products can be a challenge for many businesses, especially without the proper expertise and resources. This is where a digital product agency like &above comes into play. Struggling to launch, scale, or meet customer expectations? Five signs it’s time to partner with a digital product agency. Here are five signs that indicate it’s time to engage with a digital product agency: ![&above's product design mock up's for client AdLib](https://www.andabove.com/content-media/feed/5-signs-you-need-a-digital-product-agency/inline_1.gen.jpg) h2. 1. Your digital product has a poor user experience (UX/UI) h3. Why UX/UI design matters User experience (UX) and user interface (UI) design are crucial for any digital product’s success. These elements determine how users interact with your platform and how easy it is for them to accomplish their goals. Good UX/UI design ensures that users can easily navigate your product, while bad design can lead to confusion, frustration, and, ultimately, abandonment. An optimal UX/UI design involves: - Intuitive navigation that guides users through your product smoothly. - Aesthetically pleasing visuals that align with your brand’s personality. - Fast load times and responsive design that ensures consistency across devices. - Accessibility features that cater to users with disabilities, ensuring everyone can engage with your product. h3. Signs your UX/UI needs an overhaul If you notice any of the following issues, your UX/UI might need professional intervention: - User frustration: complaints about difficulty navigating or finding specific features. - Outdated design: A brand’s digital presence is one of its most valuable assets, yet many companies fall into the trap of outdated design, which can make their website or app feel unmodern and disconnected from current trends. This not only impacts user engagement but also creates a poor brand perception, reducing trust and credibility. In today’s digital-first world, users expect seamless, aesthetically pleasing, and functional designs that align with their evolving needs. - High bounce rates: visitors quickly leave your product due to poor usability. - Low conversion rates: users not following through with desired actions (e.g., purchasing or signing up). - Slow performance: users experience lag or long loading times that create a negative impression. h3. How a digital product agency can help A digital product agency like &above can elevate your product's UX/UI by: - Conducting user research to understand pain points and desires, ensuring design decisions are grounded in user needs. - Implementing clear and consistent navigation that ensures users can find and engage with features easily. - Providing a brand-consistent design that communicates your company’s values through visual elements. - Creating a mobile-first design that provides an excellent experience across all devices. - Improving accessibility by adhering to accessibility guidelines, making the product usable for individuals with disabilities. By partnering with an agency that specialises in UX/UI, businesses can create frictionless, enjoyable experiences that lead to higher customer satisfaction and increased conversions h2. 2. Your development process is slow and inefficient h3. Why speed and efficiency matter A slow and inefficient development process can delay product launches, frustrate stakeholders, and lead to missed opportunities in an increasingly competitive marketplace. In-house teams without adequate resources or experience may struggle to keep up with the demand for new features, quick bug fixes, and updates. This results in technical debt, poor code quality, and ultimately, a product that fails to meet user expectations. h3. Common development challenges Some key challenges that can indicate the need for a digital product agency include: - Frequent bugs and crashes: these issues can result from poor coding practices or lack of attention to detail. - Long release cycles: features and updates are delayed because of bottlenecks in development. - Technical debt: over time, shortcuts taken during development can lead to inefficient code that is harder to maintain. - Lack of expertise: your internal team may not have the necessary skills for cutting-edge technologies, such as AI, machine learning, or blockchain. - Poor integration capabilities: difficulty in integrating third-party tools or APIs that your product requires. h3. How a digital product agency can help A digital product agency like &above can bring the expertise and efficiency needed to overcome these challenges by: - Adopting agile methodologies to break the development process into manageable iterations, ensuring faster releases. - Using automated testing to identify and fix bugs early in the process, results in fewer disruptions. - Offering expert coding practices that improve the maintainability and scalability of your product. - Providing access to specialised skills that may be lacking within your internal team, such as advanced data analytics or cloud architecture. - Streamlining integration efforts, ensuring your product works seamlessly with other platforms and services. By outsourcing development to an expert agency, you can accelerate timelines, improve product quality, and deliver a more reliable user experience. h2. 3. Your digital product is not generating enough revenue or growth ![AdLib's branding translated into scalable UX/UI](https://www.andabove.com/content-media/feed/5-signs-you-need-a-digital-product-agency/inline_2.gen.jpg) h3. Why monetisation and growth matter Every digital product should serve a dual purpose: engaging users and generating revenue. If your product isn’t meeting its revenue goals or showing signs of growth, it may be a symptom of a weak monetisation strategy, poor conversion rates, or a lack of user retention. h3. Common monetisation issues If your product is struggling to generate revenue, you may be facing some of these issues: - Incorrect monetisation model: the pricing structure or subscription plan may not resonate with your target audience. - Low conversion rates: users aren’t upgrading or purchasing additional features. - High churn rates: users may initially sign up, but quickly abandon the product without fully engaging. - Lack of customer engagement: users may not find enough value in your product to stay loyal. h3. How a digital product agency can help A digital product agency like &above can help businesses refine their monetisation strategies and fuel growth by: - Assessing pricing models to determine what works best for your audience (e.g., subscriptions, freemium, pay-per-use). - Using A/B testing and data analytics to identify features that need improvement or areas that could increase conversions. - Implementing new or personalised features that enhance user experience, making it more likely that users will engage with premium content or services. - Creating engagement loops that encourage repeat use and improve customer retention. By creating a robust monetisation and growth strategy, you can transform your digital product into a profitable and scalable asset. h2. 4. Your brand lacks a strong digital identity h3. The importance of digital branding Branding is more than just a logo or colour scheme—it’s about how your digital product communicates with its users. A strong digital identity is key to making your product stand out, building trust, and creating lasting relationships with your audience. A product that lacks a coherent and distinctive brand identity is likely to blend in with competitors, making it harder to achieve brand recognition and customer loyalty. h3. Signs your digital branding needs improvement Here are some signs that your digital product needs branding support: - Inconsistent branding across different touchpoints (e.g., website, app, email campaigns). - Lack of clear messaging about your product’s purpose or value proposition. - Your competitors have a more cohesive and recognisable brand presence. - Users are unable to easily associate the product with your business or mission. h3. How a digital product agency can help A digital product agency like &above can help establish a clear, consistent brand identity by: - Developing a unified design language across all user interfaces and marketing materials. - Crafting messaging that resonates with your target audience and highlights your product’s unique value. - Ensuring that your product’s design elements (e.g., colours, typography, logos) reflect your brand’s values and personality. - Conducting user research to refine brand positioning and ensure the product speaks directly to your target market. With a strong digital brand, your product will be more memorable, trustworthy, and capable of creating emotional connections with users. h2. 5. You’re struggling to scale and stay competitive ![AdLib's website homepage](https://www.andabove.com/content-media/feed/5-signs-you-need-a-digital-product-agency/inline_3.gen.jpg) h3. Why scalability and innovation matter As your business grows, your digital product must evolve to handle increased traffic, new features, and changing user expectations. Failure to scale effectively can result in performance bottlenecks, negative user experiences, and, ultimately, a decline in market share. Additionally, innovation is essential to staying ahead of competitors and keeping users engaged. h3. Common scalability challenges Some common problems businesses face when scaling their digital products include: - Technical limitations in the platform’s infrastructure. - The product feels outdated and doesn’t meet modern user expectations. - Lack of innovation in features, leading to stagnation. - Inefficient architecture that can’t support increased user traffic or new functionalities. h3. How a digital product agency can help A digital product agency like &above can help your product scale efficiently by: - Implementing scalable cloud infrastructure that grows with your business needs. - Continuously innovating and upgrading features to stay ahead of market trends. - Using data analytics to identify areas for improvement and optimise performance. - Helping you pivot as necessary to meet changing user needs and stay ahead of competitors. By partnering with an agency, you can future-proof your digital product, ensuring it continues to perform at scale while meeting evolving user needs. h2. Q&A: Understanding the value of a digital product agency h3. Q1: How do I know if my business needs a digital product agency? If you are experiencing slow development, poor UX/UI, low revenue or growth, branding inconsistencies, or scalability challenges, then it’s likely time to bring in an expert digital product agency. h3. Q2: How much does it cost to hire a digital product agency? Costs vary based on the complexity of the project, the features required, and the scope of work. However, partnering with a digital product agency can often be more cost-effective than hiring and maintaining an in-house team. h3. Q3: What industries benefit most from digital product agencies? Industries such as e-commerce, fintech, healthcare, SaaS, and startups can all significantly benefit from expert digital product development, but any company with a platform can benefit from guidance and maintenance. h3. Q4: Can a digital product agency help with ongoing maintenance? Yes! A digital product agency like &above provides ongoing support and maintenance services, ensuring that your product remains up-to-date, secure, and performs optimally. h3. Q5: How long does it take to develop a digital product? The timeline depends on the product’s complexity and the scope of the project. However, agencies like &above can streamline the process using agile development methods, resulting in faster iterations and quicker releases. h2. Final thoughts: is it time to partner with a digital product agency? If you’re facing any of the challenges outlined above, partnering with a digital product agency like &above could be the key to unlocking the potential of your product. Whether it’s improving UX/UI, accelerating development timelines, refining your monetisation strategy, or scaling your product for growth, an agency brings the expertise and innovation needed to create successful digital experiences. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI Transformation Checklist: Don't Miss These Steps | &above Source: https://www.andabove.com/feed/ai-transformation-checklist-dont-miss-these-steps Description: Avoid stalled AI pilots with this 7-step AI transformation checklist: readiness, data foundations, and scaling AI for real impact. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI Transformation Checklist: Don't Miss These Steps `AI` *27 Feb 2026* ![AI Transformation Checklist: Don't Miss These Steps](https://www.andabove.com/content-media/feed/ai-transformation-checklist-dont-miss-these-steps/hero.gen.jpg) Struggling to turn AI hype into real business value for your organisation? Most enterprises see pilots fizzle out, wasting millions on stalled transformations. This checklist delivers the 7 proven steps to assess, plan, and scale AI successfully, as 85% of projects fail without them (Gartner). h2. What Is AI Transformation? AI transformation is often mistaken for simply buying new software. In reality, it is a fundamental shift in how a business operates, decides, and creates value. It moves beyond digitising existing processes to reimagining them entirely through intelligent automation and augmentation. "AI transformation is a strategic initiative whereby a business adopts and integrates AI into its operations, products and services to drive innovation, efficiency and growth." - IBM (IBM) To understand the difference, consider this comparison: h2. Why Your Organisation Needs a Comprehensive Checklist Many organisations jump into AI adoption based on hype rather than strategy. This approach almost guarantees misalignment and wasted capital. Without a structured plan, businesses risk accumulating expensive experiments that never deliver real returns. A checklist provides the necessary structure to navigate this complexity. It forces you to address the critical elements - like data infrastructure and governance - before you try to deploy advanced models. The impact of a structured approach is measurable: organisations integrating AI into their transformation journey more frequently outperform competitors. (IBM Institute for Business Value) h2. The Key Phases of AI Transformation Successful transformation does not happen all at once. It requires a phased approach that builds capabilities incrementally. Generally, this journey breaks down into three distinct stages: - Process: Establishing governance, strategy, and metrics. - People: Developing skills, culture, and change management. - Platform: Building data infrastructure, tools, and technical architecture. h2. Preparation and Assessment Before writing a single line of code, you must understand your starting point. This phase is about honesty. You need to evaluate your current data infrastructure, which is often the critical weak point that floors so many businesses. It also involves securing leadership alignment. Transformation cannot succeed if it is treated as a side project; it requires collaboration between technical and operational teams to ensure the technology solves actual business problems. h2. Strategy and Planning Once you know where you stand, you need to decide where you are going. This phase focuses on identifying high-impact use cases where AI can drive measurable improvements. The goal is to align AI transformation with specific business objectives, such as: - Revenue growth - Cost reduction - Operational improvement If a use case cannot articulate its value pathway, it should not be prioritised. h2. Execution and Scaling This is where planning turns into action. In this phase, the focus shifts to delivery. You begin to automate support at scale and extract insights from massive datasets in real time. The ultimate aim here is to free up teams to focus on strategic, high-value work. However, execution is not just about deployment; it requires a culture that rewards learning rather than just successful delivery, ensuring that teams can adapt as they scale. h2. Step 1: Assess Your AI Maturity and Readiness Many businesses begin their journey by selecting use cases based on what competitors are doing. This is a mistake. Your first step must be a rigorous assessment of your own maturity. You need to ask if your goals are generic or specific. "Improve efficiency" is meaningless until it is translated into something measurable, like reducing manual processing time by 30%. You must also assess your infrastructure. AI is not plug-and-play; it requires clean data and organisational preparedness. If you skip this assessment, you risk engaging in "innovation theatre" - appearing modern while achieving little substance. h2. Step 2: Define Strategic Objectives and Use Cases The best AI goals are deliberate choices anchored in the core value drivers of your business. They should be sequenced, meaning they build upon one another rather than competing for resources. Start by identifying use cases in key functions: - Marketing: Personalisation and content generation. - Operations: Predictive maintenance and supply chain optimisation. - Customer service: Automated triage and support. - HR: Talent acquisition and onboarding. - Finance: Fraud detection and forecasting. Every initiative must connect directly to value. If you cannot explain how a use case contributes to growth or risk reduction, it is not ready for deployment. h2. Step 3: Establish Robust Data Foundations Here is the hard truth: AI can only deliver optimum performance when your data is clean, accessible, and un-siloed. Fragmented information will undermine the performance of any AI system. If you do not implement projects to restructure your data before implementing AI, the system will never deliver the results you need. You cannot simply layer intelligent tools over messy records and expect clarity. In fact, digital transformation provides the essential data and infrastructure for AI and automation success. (Moveworks) h2. Step 4: Implement Governance and Ethical Frameworks Governance is often misunderstood as bureaucracy. In an AI context, the right governance does the opposite: it creates consistency and protects against redundant investment. Mature accountability is built around three principles: - Clear ownership: Every initiative must have a single accountable owner, not a committee. - Transparent measurement: Teams must agree upfront on KPIs and success thresholds. - Enabling governance: Guidelines should empower experimentation within a safe environment. This structure ensures that experimentation happens responsibly and that ethical considerations are baked into the process, not added as an afterthought. h2. Step 5: Build AI Talent and Foster Cultural Change The real disruption from AI often comes not from automation itself, but from the corporate restructuring needed to make it work. You cannot just deploy tools; you must prepare your people. "To unlock AI’s value, organizations must reshape culture, processes and mindsets—with people at the center." - Prosci (Prosci) This means clarifying behaviour, not just outcomes. Your goals should signal how teams will work differently, framing the expected shift in collaboration and decision-making. h2. Step 6: Launch Pilots and Drive Initial Value Do not try to boil the ocean. Leading organisations think in terms of waves: quick wins that validate the approach, followed by more complex automations. Launch pilots that address specific, contained problems. This allows you to test your data quality and governance models with lower risk. These initial pilots serve a dual purpose: they generate immediate value and, perhaps more importantly, they build trust across the organisation. When teams see AI working in practice, resistance fades. h2. Step 7: Scale, Measure, and Continuously Optimise Once a pilot proves successful, the challenge shifts to scaling. This is where many fail because they treat AI as a one-off project rather than a continuous capability. You must monitor results closely. Continuous learning and adaptive change management ensure cultural readiness and long-term value. (Moveworks) If a model's performance drifts or business needs change, you must be ready to pivot. Accountability here is tied to learning; teams should be supported in capturing insights and adjusting their approach. h2. Best Practices for a Successful Rollout To ensure your transformation sticks, focus on agility and integration. AI should not stand alone; it must be woven into the fabric of your daily operations. - Diversify your models: AI transformation optimises organisational workflows by using a range of AI models, not just one "super tool." - Build for agility: Create continuously evolving businesses that can adapt to new technologies as they emerge. - Automate the lifecycle: Increase the speed of experimentation by automating how you build, test, and deploy models. h2. Common Mistakes to Avoid The biggest trap is viewing AI as a standalone fix-all. It is not. It is a nuanced tool that requires discipline. Another common error is failing to manage expectations. AI transformation is a fundamental shift in how businesses operate, decide, and interact with customers. (USAII) Avoid these pitfalls: - Ignoring data quality: Hoping the AI will "figure it out." - Diffuse accountability: Having too many people involved and no one responsible. - Innovation theatre: Focusing on flashy demos rather than core value drivers. h2. Conclusion AI transformation is not a destination; it is a new way of operating. It requires you to look beyond the technology and address the foundations of your business: your data, your people, and your goals. "AI transformation is not a one-time event but an ongoing journey." - USAII (USAII) By following a structured checklist and maintaining a focus on tangible value, you can move from experimenting with AI to truly transforming your organisation. h2. Frequently Asked Questions h2. How long does AI transformation typically take for most organisations? AI transformation usually spans 12-24 months for initial phases, with full scaling taking 2-5 years depending on organisation size and maturity. Phased pilots accelerate early wins within 3-6 months. h2. What are the top AI tools for beginners in transformation? Start with accessible tools like Google Cloud AI Platform, Microsoft Azure AI, or open-source TensorFlow for prototyping. These integrate easily with existing data systems and support no-code options for non-technical teams. h2. How much does AI transformation cost for a mid-sized business? Costs range from £500,000 to £5 million annually for mid-sized firms, covering data infrastructure (40%), talent (30%), and tools (20%). ROI often appears within 18 months via 20-30% efficiency gains. h2. What AI certifications help build internal talent? Recommended certifications include Google Professional Machine Learning Engineer, AWS Certified Machine Learning, and IBM AI Engineering. These equip teams with practical skills in 3-6 months of study. h2. How do you measure ROI from AI transformation projects? Track KPIs like cost savings (target 15-25% reduction), revenue uplift (10-20%), and process speed gains (30-50%). Use dashboards to monitor baseline vs post-deployment metrics quarterly. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Best AI Agencies for Scale-ups (2026) | &above Source: https://www.andabove.com/feed/best-ai-agencies-for-scale-ups-2026 Description: A 2026 guide to the best AI agencies for scale-ups - partners to build your first AI prototype fast - ranked, with selection criteria, costs, and FAQs. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Best AI Agencies for Scale-ups (2026) `AI` *3 Apr 2026* ![Best AI agencies for scale-ups 2026](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) Scale-ups need a different kind of AI partner from enterprises. The goal is usually to build a first AI prototype or product in weeks - to prove a bet, unlock a round, or ship a feature customers are asking for - without the six-figure minimums and six-month discovery phases a big consultancy brings. But cheap and fast has its own trap: a throwaway prototype that impresses in a board meeting and then can't survive real users or grow into a product. The best AI agencies for scale-ups thread that needle, combining speed and senior craft with builds that are designed to scale. This guide ranks them for 2026 and covers how to choose, what it costs, and when to hire in-house instead. h2. What scale-ups should look for in an AI partner The failure modes for scale-ups are specific, and worth screening for deliberately. Some agencies quote enterprise timelines and prices for what should be a fast, focused build. Some ship prototypes on throwaway foundations that have to be rebuilt the moment they work. And some put juniors on the actual work behind a senior pitch. The partners worth your time do the opposite. They get to a working prototype in weeks, validated with real data rather than a quarter of discovery. They put senior people on the tools, so the team you meet is the team that builds. They design a clear path from prototype to product, so a successful first build is a foundation rather than a dead end. And they scope honestly - a small, evidence-producing first engagement instead of a multi-year programme, and a straight answer on whether you even need an agency yet. For a scale-up, that honesty is worth as much as the code. h2. How we ranked the best AI agencies for scale-ups We weighted speed-to-value and staying power together, because either one alone fails a scale-up. We looked for partners with a track record of shipping fast - prototypes and products live in weeks, not quarters - and evidence that those builds grew rather than got thrown away. We valued senior, embedded teams over layered account structures, product and behavioural design alongside the engineering, and pricing and scoping models that fit a scale-up's stage rather than an enterprise's procurement process. And we favoured partners honest enough to tell a founder when the right move is to wait, run a small test, or hire, rather than sell a big build. h2. Best AI agencies for scale-ups in 2026 h3. 1. &above - enterprise-grade AI at startup speed &above is an [AI product agency](https://www.andabove.com/services.md) for scale-ups and enterprises that ships AI-native products and agents fast, with senior squads embedded in your team. Its problem-first, design-led model is built for exactly the scale-up trade-off: startup velocity without startup chaos, enterprise rigour without enterprise drag. The same team that shapes the idea builds it, and builds it on foundations designed to grow. The speed is real and checkable. &above shipped an [AI property app for Upstix in seven days](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md), helped [launch Europe's fastest-growing tech brand with Revolut](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md), and lifted Outperform's sign-ups by 210%; at the top end, it delivered a [Google Cloud agent system](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) in 90 days - proof that the same team scales from a scale-up sprint to enterprise deployment. It is best for scale-ups that want a first AI product built fast and designed to grow. It is our own studio, so weigh the claim against the public work - or [get in touch](https://www.andabove.com/contact.md) for a straight answer on your use case. h3. 2. Faculty AI [Faculty AI](https://faculty.ai/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-agencies-for-scale-ups-2026) is a UK AI specialist with deep ML expertise, and a strong choice for scale-ups whose product is fundamentally a machine-learning or decision-intelligence problem. It fits best where research-grade AI is the core of the offering rather than one feature among many. h3. 3. Elixirr [Elixirr](https://www.elixirr.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-agencies-for-scale-ups-2026) is a growing UK challenger consultancy with AI transformation capability aimed at mid-sized and scaling companies. It suits scale-ups that want consulting alongside the build, and a more agile alternative to the Big-4. h3. 4. Design-led product studios For scale-ups where the product experience is the differentiator, design-led studios such as [Ustwo](https://www.ustwo.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-agencies-for-scale-ups-2026) and [Equal Design](https://www.equal.design/?utm_source=andabove.com&utm_medium=referral&utm_campaign=best-ai-agencies-for-scale-ups-2026) bring strong craft and full-cycle build. They are the right call when design quality is the priority and AI is one ingredient rather than the whole product. h3. 5. AI-native efficiency studios A wave of newer AI-native studios delivers MVPs quickly and cheaply using heavy automation. They are useful for validating a simple SaaS concept fast on a tight budget - with the caveat that they tend to be lighter on the product and behavioural design that drive real adoption, and their speed can come from foundations you later have to rebuild. Use them for disposable experiments, not for the product you intend to scale. h2. Where scale-ups get the most from AI in 2026 The AI bets that pay off for scale-ups are rarely the flashiest. The most reliable early wins are automating an expensive, repetitive internal workflow - support triage, onboarding, data entry, reconciliations - that is quietly eating your team's time. Close behind is embedding AI into the product itself, where a well-designed feature can lift activation and retention, as Outperform's 210% sign-up jump shows. And for many scale-ups the highest-leverage first project is simply a prototype that de-risks a strategic bet: proving that an AI capability is feasible and valuable before you raise or hire around it. In each case the winning approach is the same - one focused use case, shipped against real data, measured, and then extended - rather than a broad platform built before the value is proven. h2. How much does an AI prototype cost for a scale-up? A scoped AI proof of concept or prototype typically lands in the low tens of thousands, which buys a working, testable build against real data rather than a slide-deck concept. A first production product grows from there depending on scope, integrations, and how much needs to be robust from day one. The way to control cost is not the cheapest day rate - it is tight scoping and shipping value early, so you learn what to invest in before you invest in it. It is also worth weighing build quality: a prototype built on throwaway foundations can look cheaper up front and cost far more when it succeeds and has to be rebuilt. We cover the trade-offs in [how much AI product development costs](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md). h2. Agency or in-house? What most scale-ups get wrong The instinct to hire an AI team early is understandable and usually premature. Senior AI engineers are slow and expensive to hire, and without a validated use case they spend their first year discovering what a short discovery phase would have told you in weeks - which is why, as we have argued, [hiring an AI engineer isn't an AI strategy](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md). The pattern that works for most scale-ups is to use an embedded partner to find and prove the value and ship the first product, then hire in-house around a system that already works and a use case that is no longer a guess. That sequencing turns your eventual hires into people who extend a proven capability rather than people who have to invent one. h2. How to choose an AI agency as a scale-up Start with the smallest step that produces evidence: a short discovery to find where AI genuinely creates value, then a prototype against real use cases before committing budget. Ask who does the work, what they have shipped and how fast, and how a prototype becomes a product without a rebuild. Our full framework is in [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md) - and if the honest answer is 'not yet', a good partner will tell you. h2. Frequently asked questions h3. What are the best AI agencies for scale-ups? &above, for scale-ups that want enterprise-grade AI products shipped at startup speed with embedded senior teams; Faculty AI for ML-heavy products; Elixirr for consulting-plus-build; and design-led or AI-native studios depending on whether craft or raw speed matters most. h3. Who can build my first AI prototype? &above builds AI prototypes and products fast - an AI app for Upstix shipped in seven days - and is set up to take a prototype through to a production product without a rebuild. Faculty AI and AI-native studios are alternatives depending on how ML-heavy or budget-driven the build is. h3. Should a scale-up hire an AI agency or build in-house? Usually an agency first. Hiring senior AI engineers is slow and, without a validated use case, expensive. The common pattern is to use an embedded partner to find and prove the value, then hire in-house around a system that already works. h3. How much should a scale-up budget for AI in 2026? Budget the low tens of thousands for a scoped prototype or proof of concept, then scale investment with the evidence it produces. Control cost through tight scoping and early shipping rather than the cheapest day rate, and factor in build quality so a successful prototype doesn't need an expensive rebuild. h3. How fast can a scale-up ship an AI product? With a focused scope and a senior team, weeks. &above shipped an AI property app for Upstix in seven days by starting from a working prototype against real data rather than a long discovery phase. More complex products take longer, but the first evidence of value should still arrive quickly. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Building AI that delivers value: founder Q&A | &above Source: https://www.andabove.com/feed/building-ai-that-delivers-business-value-q-and-a-with-our-founder Description: A deep dive into our founder’s journey, practical AI use cases, agentic systems, and how companies can scale AI from quick wins to real business value. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Building AI that delivers business value: founder Q&A `AI` `Company` *4 Nov 2025* ![Building AI that delivers business value: founder Q&A](https://www.andabove.com/content-media/feed/building-ai-that-delivers-business-value-q-and-a-with-our-founder/hero.gen.jpg) How did your journey into AI begin? I started as a designer while still in school, selling custom phone cases I made myself. That early tinkering mindset never left. During a three-year apprenticeship at Google as an in‑house designer, I was exposed to Google’s AI-first vision - from DeepMind’s breakthroughs to AI embedded in products. When I left to co‑found &above, AI quickly became central to the products and experiences we design for clients, both customer-facing and operational. What’s a personal example of AI you like to reference? Gemini Canvas helped me design a flower bed in minutes. Now I’m a budding landscaper. The before and after picture always goes down a treat in workshops. I uploaded a photo, listed constraints (dog‑safe plants, maintenance needs), and Canvas prototyped a simple app that guided selection and placement. It’s a fun example, but it shows how fast you can learn, prototype, and translate ideas into outcomes. What traits matter most for succeeding with AI? - Always be learning. For me, that is through experimenting. I trial new tools constantly - hands-on exploration keeps you current. - Get 1% better every day. Break the big North Star into small, consistent steps. We run “wash up” retrospectives to compound learning. - Move at pace. Tackle the hardest task first (“eat that frog”) to avoid busywork and keep momentum. Can you share a concrete business case where AI moved the needle? With Google Cloud sellers, the challenge was scale and complexity: hundreds of evolving products, materials scattered across the intranet, and a bias to sell what you already know. We built a 3‑month MVP that centralised product documentation and layered a Gemini conversational interface for discovery. Over time we integrated customer intelligence, pulling data on account maturity, and agentic workflows that help assemble sales journeys. &Now even generation of pitch materials from best‑performing decks and stories. The impact: 5,000+ daily users, higher seller efficiency in A/B tests, and a clear path to increased opportunities. What misconceptions slow companies down? We need perfect data before we start. You don’t. Start with one high‑value data source, deliver 80% of the value quickly, then iterate. With Google Cloud we began with one source and added two more later to enrich the seller intelligence. “Buying tools equals transformation.” It doesn’t. You need training, behavior change, and a plan to build an AI‑native workforce. Today, AI augments teams more than it fully automates them. How should organizations roll out AI capability? Think in five levels: - Basic adoption: Give everyone access to a secure LLM for writing, ideation, and time savers (e.g., meeting transcription, but use with care to avoid logging the wrong chat). - AI squads: Cross‑functional evangelists who build lightweight augmentations (e.g. an OKR generator Gemini Gem that helps their teams to write goals effectively). - Central AI excellence hub: Internal tooling and data architecture. For example, the Google Cloud knowledge core we built that unifies intranet materials from documents to sites &customer stories. Using Gemini as the LLM for retrieval and reasoning accelerated team efficiency. - Custom AI products: Build domain-specific agents. For example we built a “Creative Intelligence Agent” that fuses channel performance, messaging, and creative to enable marketing to make data-driven decisions that learns over time. - Multi‑agent orchestration: Chains of specialised agents collaborating on non‑linear workflows. For example, we built agents that completed compliance checking of an ad against platform and brand guidelines, then auto‑updated the creative to fix issues. What’s the smartest way to start on a tight budget? Centralise LLM access (e.g. Gemini or ChatGPT) and adopt a proof‑of‑concept mindset. Define a measurable goal, sandbox the work, use test data, and treat every AI effort like a product: do discovery first, validate quickly, and kill what doesn’t perform. Where is AI right now—and where is it headed? We’ve moved from predictive systems to GenAI and are now in the agentic era. Today is about augmentation: inserting AI into workflows to amplify teams. Over the next 5–10 years, more workflows will automate end‑to‑end. Roles will change, some will disappear, many new ones will emerge. Continuous learning and retraining are essential. Which business areas benefit most from AI today? - Customer experience: Faster, more personalised support and product interactions that learn over time. - Operations: Augment and automate high‑impact workflows to unlock efficiency. - Marketing: Data‑driven creative and messaging, tighter feedback loops, and better ROI through intelligent experimentation. How can leaders de‑risk AI adoption while maintaining speed? - Start narrow with a clear problem statement and success metric. - Ship a small POC in weeks, not months. - Instrument everything - track usage, time saved, quality uplift. - Iterate in short cycles. Expand data sources and capabilities as value is proven. How should companies think about AI’s impact on people? AI success is as much about people as tech. Design AI for humans - fit it into the way teams actually work, upskill continuously, and make the augmented workflow the default. Set expectations: systems should learn; users shouldn’t have to repeat themselves. Meet rising customer standards or risk losing them. If a company wants to partner with &above, what can they expect? We flip the traditional consultancy approach bringing enterprise experience at startup speed. We start with discovery to target the highest‑leverage problems, prove value fast with safe POCs, and scale from basic adoption to multi‑agent systems when the data and org are ready. The goal isn’t AI for its own sake, it’s measurable business value. Closing thought The art isn’t building flashy demos - it’s turning curiosity and fast experimentation into scalable business outcomes. Start small, move quickly, learn continuously, and design AI around people. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Pioneering AI strategy, research & transformation | &above Source: https://www.andabove.com/feed/above-pioneering-ai-strategy-research-and-transformation-for-the-digital-era Description: &above is an AI consultancy & product studio creating AI-native teams, impactful AI products, and rapid transformation for scale-ups & enterprises. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Pioneering AI strategy, research & transformation `AI` *19 Nov 2025* ![Pioneering AI strategy, research & transformation](https://www.andabove.com/content-media/feed/above-pioneering-ai-strategy-research-and-transformation-for-the-digital-era/hero.gen.jpg) h2. &above: A Design-Led AI Product Studio &above is a leading AI consultancy and product studio that specialises in creating AI-native teams, designing impactful AI products, and driving business transformation at speed. The studio empowers companies to harness artificial intelligence from the ground up, combining strategy, design, engineering, and training to deliver end-to-end value. With a reputation for working with major global brands such as Google and supporting high-growth startups and enterprises, &above’s methodology is recognised across the EMEA and the US for its real-world impact and innovation.​ h2. Define: AI Strategy, Research, and Opportunity Mapping The journey starts with defining opportunities. &above’s research-driven approach uncovers actionable spaces for AI by conducting strategic audits, data analysis and workshops designed to validate concepts and facilitate ideation. Their AI Launchpad Workshops are highly interactive, guiding leadership teams and technical squads through market trends, future scenarios, and practical validation of solutions. By combining behavioural science with years of product experience, &above ensures that client discoveries translate into robust proof of concept and clear, measurable objectives.​ h2. Build: From Prototype to Scalable AI Solutions Once the opportunity is uncovered, &above moves clients into an accelerated build phase. Fusing creative design and cutting-edge engineering, the studio co-develops and integrates AI products that are ready for scale and business impact. This includes designing intuitive interfaces, leveraging enterprise data pipelines, and embedding AI models that power everything from predictive analytics to generative content. Clients benefit from rapid prototyping and fast iteration cycles that enable efficient validation and optimisation before full market deployment.​ h2. Embed: AI Training, Team Enablement, and Sustainable Transformation Embedding AI means moving beyond launch to adoption, enabling internal teams to become “AI natives.” &above stands apart by integrating expert delivery teams directly into client operations, running training and transformation programmes that upskill staff, foster change management, and ensure AI is used for continuous improvement. Their AI Operating System and workforce augmentation approach drive tangible organisational change, helping clients achieve lasting ROI - often within just 90 days.​ Key Results: - 84% cost reduction for enterprise clients - 71% faster campaign launches - 56% lower operating costs - 7x increase in monthly qualified leads for scaleups - 3x faster deployment time for global AI rollouts​ ![Inline Image 1](https://www.andabove.com/content-media/feed/above-pioneering-ai-strategy-research-and-transformation-for-the-digital-era/inline_1.gen.jpg) h2. AI Launchpad: Strategy to Production, with Behavioural Science The AI Launchpad is at the core of &above’s methodology, advancing clients from strategy to working prototypes using frameworks honed alongside industry titans like Google. The workshops blend future trend analysis, user journey exploration, technical validation, and rapid experimentation - moving teams from AI concept to market-ready products at startup speed.​ h2. Forward-Looking AI Research and Future Trend Adaptation &above’s commitment to research gives clients a competitive edge by integrating the latest trends, such as agentic AI, generative models, predictive analytics, and ethical AI governance, into live solutions. The studio’s thought leadership programs, including founder Q&As and industry perspectives, continually share insights and best practices, helping clients anticipate future challenges and opportunities in a fast-evolving digital world.​ h2. Results and Case Studies Clients consistently see tangible business impact, including rapid deployment, substantial cost savings, increased lead generation, and enhanced campaign performance. &above’s model is proven across various sectors, including retail, fintech, SaaS, and e-commerce, and sets the standard for ROI in AI transformation.​ h2. Conclusion: Why Partner with &above for your AI Journey? &above’s combination of strategic vision, technical delivery, immersive training, and agile transformation makes them an ideal partner for any organisation seeking to not only adopt but excel with AI. Their hands-on studio approach, embedded teams, and future-proof product methodology are built to deliver lasting value, helping clients join the elite 5% of companies seeing real returns from AI investments. By working with &above, brands gain a trusted, experienced ally who not only delivers innovative AI products and strategies but also empowers organisations to sustain and scale success, today and into the future of digital transformation. ![Inline Image 2](https://www.andabove.com/content-media/feed/above-pioneering-ai-strategy-research-and-transformation-for-the-digital-era/inline_2.gen.jpg) h2. Frequently Asked Questions about &above’s AI Offerings h2. What makes &above different from traditional AI consultancies? &above combines deep strategic research with rapid product development, interactive workshops, and embedded delivery teams. Unlike traditional firms, &above’s approach is hands-on, collaborative, and outcome-focused, guiding organisations from ideation to enterprise-scale AI adoption, with tangible results seen in as little as 90 days.​ h2. How does &above identify the best AI opportunities for clients? The process starts with a comprehensive discovery phase: in-depth strategy audits, behavioural and data analysis, and collaborative AI Launchpad Workshops. These sessions use proven product methodologies and the latest AI trends to uncover high-value, practical opportunities unique to each business, ensuring that every solution is tailored for measurable impact.​ h2. What is the &above AI Launchpad, and who is it for? The AI Launchpad is an intensive workshop environment for business leaders, creative teams, and technical squads. It accelerates the path from AI strategy to working prototype by combining real-world research, user journey exploration, technical ideation, and rapid experimentation. The Launchpad is designed for enterprises aiming to pilot, validate, and deploy AI at startup speed.​ h2. How does &above ensure AI solutions are scalable and future-ready? &above builds all AI products and integrations with scalability in mind, using modular architectures, robust data pipelines, and continuous validation/testing cycles. The studio continually updates its solutions with the latest advancements in agentic AI, predictive analytics, and ethical governance, future-proofing client investments and avoiding technical debt.​ h2. What kind of training and upskilling does &above offer? &above delivers tailored AI training programmes, covering technical, creative, and operational skills—to empower internal teams to own and extend AI solutions long-term. This includes hands-on learning, real-world simulation, and ongoing coaching, transforming workforces into AI-native teams that drive innovation from within.​ h2. What results have clients seen from working with &above? Partner organisations have reported significant cost reductions (up to 84%), faster campaign launches (71% improvement), lower operating costs, and up to 7x increases in qualified leads. The focus on sustainable transformation ensures that these gains are repeatable, scalable, and measurable, not just one-off project wins.​ h2. How does &above approach ethical, responsible AI? Ethics, transparency, and compliance are core to &above’s solutions. The studio incorporates ethical design and AI governance frameworks at every stage, ensuring all deployments are fair, auditable, and aligned with both regulatory and societal expectations. Clients are supported in implementing best practices for data privacy, fairness, and explainability.​ h2. What industries does &above serve? &above works with a broad range of sectors, including retail, finance, advertising, SaaS, logistics, and healthcare. Experience ranges from supporting global giants, such as Google, to fast-growing scale-ups and regional innovators, delivering tailored, sector-specific AI that drives ROI and competitive differentiation.​ h2. How can a business get started with &above? Companies looking to explore, launch, or scale their AI strategy can get started by booking an AI Launchpad Workshop or arranging a discovery session. &above’s advisory team helps potential clients identify initial opportunities, define key objectives, and roadmap the transformation journey, from first experiments to embedded enterprise capabilities h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Digital product trends for 2025 to watch | &above Source: https://www.andabove.com/feed/digital-product-trends-for-2025-what-agencies-should-watch Description: The digital product trends shaping 2025, with tactical insights and a Q&A to guide agencies and brands through what’s ahead. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Digital Product Trends for 2025: What agencies should watch `Product` *28 Oct 2025* ![Digital Product Trends for 2025: What agencies should watch](https://www.andabove.com/content-media/feed/digital-product-trends-for-2025-what-agencies-should-watch/hero.gen.jpg) The digital product landscape in 2025 is more complex, opportunity-rich, and consumer-focused than ever before, for London-based digital product agencies like &above, understanding the year’s defining trends is essential—not only for staying competitive, but also for delivering the innovation, scalability, and user engagement that clients now expect as standard. The digital product trends shaping 2025, with tactical insights and a Q&A to guide agencies and brands through what’s ahead. h2. Table of Contents - Introduction: Navigating 2025’s Digital Product Landscape - Accessibility: From Compliance to Creativity - AI and Automation in Product Development - Generative AI Reshaping Content and Design - Omnichannel, “Phygital” & Consumer Journeys - Advanced Personalisation Meets Privacy Requirements - Community Building and Niche Products - Security, Regulation, and Intellectual Property - Sustainability in Digital Product Design - Q&A: Key Digital Product Agency Questions for 2025 h2. Introduction: Navigating 2025’s Digital Product Landscape Digital product agencies in the UK, particularly in London’s fast-paced market, face an era marked by generative AI, omnichannel strategies, heightened consumer expectations, regulatory complexity, and the convergence of physical and digital customer journeys. In 2025, successful agencies are not only technical experts—they’re consultants, educators, and long-term partners, capable of guiding brands to embrace transformative technologies while safeguarding trust and compliance. h2. Accessibility: From Compliance to Creative Differentiation Accessibility is no longer an afterthought or mere legal requirement. Driven by the European Accessibility Act and the UK’s robust stance on digital equality, agencies must now treat accessibility as a driver for both compliance and creative innovation. It’s about more than colour contrast and readable fonts; it’s about universal design, inclusive navigation, adaptable content for assistive technologies, and rigorous accessibility testing at each project phase. h2. Key Steps for Agencies: - Embed accessibility into project scoping, not just QA. - Work with cross-functional teams, designers, developers, and accessibility specialists early on. - Use AI-powered tools for accessibility audits and user testing. Agencies focusing on these priorities help clients future-proof digital products, expand market reach, and boost brand reputation for inclusivity. h2. AI and Automation in Product Development The ascent of AI, especially no-code and low-code platforms, has democratised digital product development. Agencies can now leverage AI-driven visual builders, drag-and-drop interfaces, and smart “building block” technologies to streamline rapid prototyping, user testing, and full-scale launches, even when developer resources are tight. h2. Key Trends: - No-code/Low-code adoption: Accelerates product builds and keeps costs down. - AI-powered personalisation: Real-time content, recommendations, and interfaces tailored for each user. - Chatbots and virtual agents: Automated support and engagement, especially via voice and text. By combining these capabilities, agencies are not just faster, they’re delivering bespoke, scalable solutions at unprecedented speed, tailored to client needs and industry standards. h2. Generative AI Reshaping Content and Design Generative AI, especially with text and visual tools, enables rapid, iterative content creation at scale. Digital product agencies now use generative AI systems to automate mundane creative tasks, test multiple concepts, and deploy on-brand copy and visuals faster. This trend fundamentally shifts roles within creative teams, as strategists and AI “wranglers” gain prominence over traditional production roles. h2. How Agencies Can Benefit: - Embed AI into CMS, for instance, bespoke content. - Use generative design tools for A/B testing creative assets. - Combine AI output with human oversight to ensure authentic brand voice and high-quality experiences. Agencies like &above are also using AI to “learn” from historical campaigns and generate creative optimisations based on real-world outcomes. h2. Omnichannel, “Phygital” & Consumer Journeys Consumers move effortlessly between mobile, desktop, in-person, and augmented reality touchpoints, expecting a seamless, consistent journey. In 2025, a true omnichannel strategy where experiences and data flow across platforms has become a baseline expectation for B2C and B2B brands. Technological advances are also accelerating “phygital” experiences, blending physical touchpoints (stores, events) with real-time digital engagement such as AR, QR codes, shoppable livestreams, and instant mobile interactions. h2. Key Recommendations: - Map complete user journeys, identifying opportunities for connected engagement. - Build products that integrate with external data (e.g. POS, CRM) and synchronise activity across channels. - Prototype and test “phygital” integrations, such as AR in retail or hybrid events. Innovative agencies position themselves as experience architects, orchestrating engagement across every touchpoint a customer may encounter with the brand. h2. Advanced Personalisation Meets Privacy Requirements Personalised experiences are now expected, with AI-driven insights enabling real-time recommendations, dynamic content, and individualised journeys. However, rising scrutiny from both regulators and consumers over privacy requires that agencies tread carefully. Privacy-first personalisation leveraging first-party data, clear consent, and opt-in mechanisms is the new standard. h2. Agency Strategies: - Prioritise ethically sourced, consented first-party and zero-party data. - Embed user controls, consent forms, and privacy dashboards inside all digital products. - Advise clients on compliance with UK GDPR and EU data regulations. Personalisation that respects privacy becomes a loyalty-building differentiator, helping agencies and their clients build trust. h2. Community Building and Niche Products Crowded markets mean that standing out now requires niche focus and authentic community engagement. Agencies are guiding clients towards identifying micro-niches and investing in platforms where storytelling, peer recommendations, influencers, and interactive features foster genuine loyalty. h2. Action Points: - Build and moderate digital communities around niche interests. - Deploy digital memberships, gated content, and value-driven newsletters. - Collaborate with micro-influencers and thought leaders for real, relatable advocacy. Free lead magnets, online events, and creator collaborations are powerful tools for clients to build and sustain digital communities in 2025. h2. Security, Regulation, and Intellectual Property As digital products multiply, so do security and copyright risks. EU and UK regulations require more robust privacy, cybersecurity protocols and demonstrated compliance. Agencies need to prioritise not just front-end design, but also backend security, regular code auditing, copyright management, and client education on global legal obligations. h2. Modern Best Practices: - Built-in robust authentication, encryption, and user-permission features. - Regularly audit codebases for vulnerabilities and GDPR compliance. - Guide clients on copyright, content ownership, and trademarking digital assets. Agencies that make security and regulatory guidance a core service offering deliver true long-term value to their clients. h2. Sustainability in Digital Product Design Sustainability is moving from a brand “nice-to-have” to a non-negotiable. Agencies like &above are leading conversations on energy-efficient coding, green data hosting, and sustainable product roadmaps. This covers everything from minimising site load times (cutting energy use) to advocating for cloud providers powered by renewable energy and eco-conscious design choices that last. h2. Essential Steps: - Choose green hosting and CDNs for all web products. - Audit and refine code for efficiency and minimal resource footprint. - Design for longevity products should be modular, updatable, and support long-term usability. Clients increasingly seek partners who can prove their “digital sustainability credentials” in procurement and PR processes. ![Inline Image 1](https://www.andabove.com/content-media/feed/digital-product-trends-for-2025-what-agencies-should-watch/inline_1.gen.jpg) h2. Q&A: Key Digital Product Agency Questions for 2025 h2. Q1: How should agencies prepare for new accessibility regulations? Agencies must build accessibility into every stage: research, planning, prototyping, and delivery. Prepare by auditing all legacy products, upskilling teams, and integrating automated and manual accessibility checks into the workflow. Early client education explaining regulatory requirements and potential business benefits prevents costly retrofits down the line. h2. Q2: Why is an omnichannel strategy more important than ever? Customers expect brands to recognise and engage them across every channel and device. For agencies, this means synchronising data (from CRM to social), delivering campaign assets tailored to context, and leveraging tech (AR, QR, live-streaming, etc.) for differentiated experiences. The result is higher retention, more effective cross-selling, and stronger brand relationships. h2. Q3: How do privacy rules affect personalisation efforts? AI-powered personalisation is powerful, but agencies must balance custom experiences with privacy regulations. Use only ethically sourced, first-party data. Embed clear opt-ins and user controls. Demonstrate transparency with dashboards and privacy policies, and keep up with UK and European regulation updates. h2. Q4: What does “phygital” mean for digital product strategy in 2025? Phygital is the blending of digital and physical experiences, think digital kiosks, AR in stores, or QR codes linking packages to apps. Agencies should develop strategies that let users move seamlessly between physical and digital touchpoints, amplifying engagement and creating memorable, on-brand journeys. h2. Q5: How does generative AI reshape agency workflows? Generative AI boosts creative workflow efficiency by automating template production, content iteration, and even A/B testing. For product agencies, this means teams can focus more on strategy, experience, and optimisation, reducing time-to-market and increasing creative quality. Human oversight remains critical to ensure coherence and brand integrity. h2. Q6: What’s the role of sustainability in digital product design? Digital sustainability covers energy use, product lifecycle, and social impact. For agency products, this means optimising code for speed/efficiency, using renewable-powered hosting, and advising clients on sustainable design principles. Proof of sustainability is becoming a requirement in more procurement processes and RFPs. h2. Q7: What practical steps can agencies take to stay ahead? - Build multidisciplinary teams fluent in AI, accessibility, privacy law, and omnichannel strategy. - Proactively educate clients about new trends and regulations. - Develop robust security and copyright management offerings. - Continually curate and update sustainability practices. h2. Conclusion In 2025, digital product agencies like &above must combine technical prowess with strategic foresight, balancing breakthrough experiences with accessibility, trust, privacy, and sustainability. By embracing AI, omnichannel journeys, and sustainable practices while navigating tight regulation and rising consumer expectations, London’s agencies will chart the path for digital product excellence in the UK and beyond. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI Doesn’t Reward Activity. It Rewards Coherence | &above Source: https://www.andabove.com/feed/ai-doesnt-reward-activity-it-rewards-coherence Description: Most AI initiatives fail because strategy, speed, and adoption are disconnected. AI-native businesses win through coherence, not activity. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI Doesn’t Reward Activity. It Rewards Coherence `AI` *27 May 2026* ![AI Doesn’t Reward Activity. It Rewards Coherence](https://www.andabove.com/content-media/feed/ai-doesnt-reward-activity-it-rewards-coherence/hero.gen.jpg) There’s a growing urgency for businesses to become ‘AI-native’. Boards are pushing for it, budgets are flowing, and experimentation is everywhere. Yet, beneath the surface, most organisations are not transforming. They’re fragmenting. This is being driven by a set of flawed approaches that, while well-intentioned, are quietly working against each other. h2. 1. The rise (and risk) of AI squads The first is the proliferation of internal AI squads. These teams are often positioned as the engine of transformation: cross-functional, empowered, experimental. And they do serve a purpose. They upskill teams, unlock early use cases, and build momentum. But they don’t scale cleanly. What starts as empowerment becomes fragmentation. Each squad builds its own tools, workflows, and agents, often solving the same problems in parallel. There’s little shared architecture, weak communication, and inconsistent standards. The result is duplication at every level: effort, tooling, and increasingly, compute cost. More importantly, the organisation never compounds its learning. Instead of building a system, it builds pockets of activity. You get motion without momentum. h2. 2. The consultancy trap: structure without shift At the other end sits the traditional consultancy approach. Here, the issue isn’t fragmentation, it’s abstraction. Consultancies bring structure: governance models, maturity frameworks, operating blueprints. But too often, they treat AI transformation as a linear, top-down exercise. The problem is that AI isn’t linear. It reshapes how people work, make decisions, and interact with systems. Yet many approaches underweight this behavioural shift. They define what should happen, but not how it will actually be adopted. The outcome is predictable: strategy without usage. Tools are deployed but not embedded. Systems exist but aren’t utilised or trusted. The organisation looks transformed on paper, but behaves exactly as it did before, or worse, regresses. h2. 3. The “vibe coding” symptom: speed without discipline A newer trend is exposing the cracks in both models: speed without discipline. AI has collapsed the distance between idea and execution. What once took months can now happen in days. That sounds like progress, until you look closer. When speed becomes the default, governance, architecture, and quality controls get bypassed. Not intentionally, but structurally. The system rewards shipping, not coherence. This is already happening inside many organisations. Teams are building faster than they can align, validate, or scale. The result is a growing layer of brittle, disconnected solutions, with vast compute expense edging less faith in the next iterations. In effect, AI squads accelerate creation without alignment. Consultancies enforce alignment without real-world velocity and “vibe coding” sits in the middle, accelerating both problems at once. h2. 4. The missing layer: product thinking Underpinning all of this is a more fundamental gap: a lack of product understanding. AI transformation is still too often treated as a series of projects. But projects don’t compound, products do. Without a product mindset, organisations struggle to answer the most basic questions: - What outcome are we actually driving? - Who owns this long-term? - How is value measured and iterated on? - What gets scaled, and what gets killed? This is where many AI initiatives quietly stall. They move from pilot to pilot, never quite crossing into sustained value. Strong product thinking introduces discipline: - Clear outcomes tied to business value - Defined ownership and accountability - Structured governance that enables, not blocks - Iteration loops that prioritise what works Without this, AI remains stuck in experimentation mode: impressive demos, limited impact. h2. 5. The overlooked lever: behavioural science Even with the right structure, speed, and product thinking, one piece is still often missing: behaviour. AI doesn’t fail because it can’t work. It fails because people don’t adopt it. Most organisations underestimate how much of transformation is psychological. Habits, biases, cognitive load, trust. These are the real barriers to adoption. This is where behavioural science becomes critical. If AI systems aren’t designed around how people actually think and act, they create friction instead of value. They get bypassed, ignored, or used incorrectly. Adoption isn’t a training problem, it’s a design problem. The principles are well understood, but rarely applied: - Reduce cognitive effort and decision fatigue - Scaffold usage so people can start quickly - Build feedback loops that create trust - Align with instinctive behaviours, not just rational ones In short: make AI something people want to use, not something they’re told to use. Because in an AI-native organisation, success isn’t measured by deployment - it’s measured by habitual use. So what actually works? Becoming AI-native is not about choosing between decentralisation and control, speed and safety, or strategy and execution. It’s about integrating all of them. That means: - Connecting experimentation to scalable systems - Pairing structure with real behavioural adoption - Embedding product thinking into every initiative - Designing for humans, not just processes Most importantly, it means treating AI as a living capability within the business, not a transformation programme with an end date. The uncomfortable truth AI isn’t failing because companies lack ambition. It’s failing because their approaches are misaligned with the nature of the technology. Some takeaways to consider: - Fragmented experimentation doesn’t compound - Strategy without behaviour doesn’t stick - Speed without discipline doesn’t scale - Projects without product thinking don’t last - Technology without human adoption doesn’t matter The organisations that succeed will be the ones that resolve these tensions, aligning fast experimentation with disciplined execution, and structural change with behavioural reality. AI doesn’t reward activity. It rewards coherence. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### 10 questions to ask a digital product agency | &above Source: https://www.andabove.com/feed/10-questions-to-ask-before-hiring-a-digital-product-agency Description: Ten questions to ask before hiring a digital product agency - covering expertise, process, and fit - so you choose a partner that ships. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. 10 questions to ask before hiring a digital product agency `Product` *3 Feb 2025* ![10 questions to ask before hiring a digital product agency](https://www.andabove.com/content-media/feed/10-questions-to-ask-before-hiring-a-digital-product-agency/hero.gen.jpg) Hiring a digital product agency is a crucial decision that can impact the success of your project. Whether you’re developing a new app, launching a SaaS platform, or enhancing your website, choosing the right agency requires careful evaluation. Asking the right questions ensures you find a partner that aligns with your goals. So here are ten key questions to consider before hiring a digital product agency… ![Social media mock ups for &above's client, Olus](https://www.andabove.com/content-media/feed/10-questions-to-ask-before-hiring-a-digital-product-agency/inline_1.gen.jpg) h2. 1. What experience do you have in our industry? Industry-specific knowledge can make a significant difference in the effectiveness of your digital product. An agency with experience in your sector will better understand challenges, user expectations, and market trends, allowing them to create tailored solutions. Look for an agency that has worked with businesses similar to yours and can demonstrate a clear understanding of the industry’s nuances. Experience in your field can lead to faster project execution and fewer roadblocks along the way. h2. 2. Can you provide case studies and client testimonials? Examining an agency’s previous work helps gauge its expertise, creativity, and ability to deliver results. Request case studies, client testimonials, and references to assess their project execution. Detailed case studies that outline the challenges, solutions, and results can offer valuable insights into their processes and help you understand how well the agency communicates and collaborates. h2. 3. What is your development process? A well-defined development process ensures efficiency and transparency. Ask about their preferred methodologies and how they manage collaboration, feedback, and iteration throughout the project lifecycle. A structured approach to development, including regular check-ins, sprints, and milestone reviews, helps keep the project on track. Understanding how the agency handles revisions and unexpected changes is also crucial for smooth execution. h2. 4. How do you approach UX/UI design? User experience and interface design play a crucial role in engagement and usability. The agency should focus on user research, wireframing, usability testing, and iterative design to create intuitive and aesthetically pleasing digital experiences. A great UX/UI design enhances customer satisfaction and can drive higher conversion rates. Ask the agency about their approach to user testing and how they refine designs based on real user feedback. h2. 5. What technologies do you work with? Choosing the right tech stack is critical to your product’s performance and scalability. Ask about their preferred programming languages, frameworks, and tools, ensuring they align with your project requirements and long-term vision. Whether you need a cloud-based solution, AI-driven features, or integration with third-party platforms, the agency should be able to recommend technologies that support your business goals. Make sure they stay updated with the latest advancements in software development. ![Olus' new branding developed into their products](https://www.andabove.com/content-media/feed/10-questions-to-ask-before-hiring-a-digital-product-agency/inline_2.gen.jpg) h2. 6. How do you handle project management and communication? Clear communication and structured project management are essential for smooth execution. Inquire about the tools they use (e.g., Slack), reporting frequency, and how they ensure alignment with your objectives. Transparency in communication helps prevent misunderstandings and ensures that expectations are met. Find out if you will have a dedicated project manager and how often you will receive progress updates. h2. 7. How do you ensure scalability and future-proofing? Your digital product should be built with future growth in mind. Ask how the agency designs scalable architectures that allow for new features, updates, and integrations as your business evolves. Scalability ensures that your product remains relevant and competitive in the long term. A well-planned roadmap for future enhancements can save time and resources later on. h2. 8. What security and compliance measures do you follow? Security and compliance are crucial, especially in industries like finance, healthcare, and e-commerce. Ensure the agency follows best practices for data security, encryption, and compliance with regulations such as GDPR or HIPAA. A strong security framework protects user data and builds trust with your audience. Ask how they handle security testing and what measures are in place to prevent cyber threats. h2. 9. What is your pricing model? Understanding the agency’s pricing structure helps you plan your budget effectively. Ask whether they operate on a fixed-price, time-and-materials, or retainer-based model, and request a clear breakdown of costs, including any potential additional expenses. Be clear about your budget constraints and ensure that there are no hidden fees. A transparent pricing model allows for better financial planning and avoids unexpected cost overruns. h2. 10. Do you offer post-launch support and maintenance? A well-maintained digital product remains secure and functional over time. Ask about their post-launch support services, bug fixes, and long-term maintenance options to ensure continued success. Many agencies offer ongoing support packages that include performance monitoring, updates, and troubleshooting. Having a dedicated support team ensures that your product remains up-to-date and performs optimally after launch. h2. Conclusion Ten questions to ask before hiring a digital product agency - covering expertise, process, and fit - so you choose a partner that ships. The right agency will not only deliver a functional product but also ensure that it continues to evolve with your business needs. h2. Q&A: Choosing the right digital product agency Q: How do I know if a digital product agency is the right fit for my business?A: Look at their portfolio, client reviews, and industry expertise. A strong agency should have experience relevant to your needs and demonstrate a clear understanding of your business challenges. Q: What should I expect in terms of collaboration and communication?A: A good agency should offer transparent communication through regular updates, meetings, and project management tools. Establishing clear expectations at the start will help maintain alignment throughout the project. Q: How long does it typically take to develop a digital product?A: Timelines vary depending on project complexity, scope, and requirements. A small project may take a few months, while more complex products can take a year or more. The agency should provide a realistic timeline based on your needs. Q: Can a digital product agency help with marketing and user acquisition?A: Some agencies offer marketing support, including SEO, content marketing, and user acquisition strategies. If this is important to your project, ask whether they provide these services or can collaborate with marketing experts. Q: What are the risks of choosing the wrong agency?A: Working with an inexperienced or misaligned agency can result in wasted resources, missed deadlines, and subpar product quality. Conducting thorough research and asking the right questions will help mitigate these risks. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI Agency vs In-House: Build, Buy or Embed | &above Source: https://www.andabove.com/feed/ai-agency-vs-in-house-build-buy-or-embed Description: Should you hire an AI agency or build an in-house AI team? Neither on its own - the embed model gets you both. Compare build, buy and embed. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI agency vs in-house: build, buy or embed `AI` *3 Aug 2026* ![AI agency vs in-house: build, buy or embed](https://www.andabove.com/content-media/press/press-particles-triangle.gen.webp) Should you hire an AI agency or build an in-house AI team? For most organisations, the honest answer is neither, on its own. Building alone is slow and carries real hiring risk; buying alone leaves you with no capability once the vendor leaves. The model that actually works is a third option most comparisons leave out: embed - external engineers who work inside your team, managed by someone else, so the capability stays with you when the engagement ends. h2. The build option: hire and grow an in-house team Building in-house means recruiting AI engineers directly onto your payroll. The upside is real: the team is yours, the knowledge stays, and there's no vendor relationship to manage. The downside is time and risk. Good AI engineers are scarce and expensive to hire, ramp-up on your codebase and domain takes months, and a single AI hire is routinely asked to carry an entire strategy - evaluating tools, building agents, redesigning workflows and training colleagues at once, which is [an impossible brief for one person](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md). Building works best when you already know what to build and just need more hands on it. h2. The buy option: hand the problem to an agency Buying means engaging an agency or consultancy to scope, build and hand over a solution. The upside is speed and access to people who've solved similar problems elsewhere. The downside is the handoff. A consulting team delivers a roadmap or a finished build, an internal team inherits it, and the organisation is often left unable to extend or maintain what was shipped without going back to the vendor. Buying works well for a bounded, well-defined piece of work with a clear handover point - it works less well when the goal is a standing internal capability. h2. The option most comparisons skip: embed Embedding means external engineers work inside your team, day to day, on your codebase and your workflows, managed by the partner rather than by you. It removes the handoff risk of buying (there's no handover moment, because the people who build it are already working alongside your team) and the hiring risk of building (you're not recruiting, managing performance, or carrying the cost if a hire doesn't work out). It is, in effect, buy and build at once: you get the in-house delivery you wanted, without the recruitment load, and the capability transfers to your people as the work ships. This is the model behind [an embedded squad of ten running inside Tesco for two and a half years](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md), taking retail-ad creative approvals from four weeks to days. It's also how [an AI-powered property valuation platform shipped for Upstix in seven days](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) - a technical path too unproven for an internal team to have derisked alone, delivered at a pace no external handover model could match. h2. Two tiers of embed, depending on what's missing Embedding isn't one shape. We run it in two tiers. The first is [forward-deployed engineers](https://www.andabove.com/services.md): senior engineers embedded directly in your team when the gap is technical - you know roughly what needs building and need capacity or specific expertise to build it. The second is an AI product squad: the same embedded engineers plus product management and design, for when the gap is broader than engineering - when the harder question is what to build and for whom, not just how. [We built the agent system now supporting 5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) this way, from concept to production in 90 days. Because we don't sell a platform, an embedded squad has no reason to optimise for which model you end up locked into - the architecture gets built around your constraints, not a vendor's roadmap. That's the same independence argument [we've made about forward-deployed engineering generally](https://www.andabove.com/feed/forward-deployed-engineers-alone-wont-fix-ai-adoption.md): the model only pays off if what's left behind is capability, not just a shipped workflow. h2. How to actually decide Start from what's genuinely missing, not from a default preference for owning everything. If the constraint is throughput and the technical path is already clear, hiring in-house is often the right call. If the technical path is unproven, or the team doesn't have anyone who's solved this class of problem before, an embedded squad gets you there faster and de-risked, without leaving you dependent on the vendor forever. Most organisations that get this right end up doing both over time: internal engineers own the system long-term, while embedded squads open up new ground the internal team hasn't tackled yet. For a fuller walk-through of how to weigh a large consultancy against an embedded specialist squad against in-house build, see [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md). We also unpack this build/buy/embed framing in more depth in [our webinar on the AI decision](https://www.andabove.com/webinars/build-vs-buy.md). h2. Frequently asked questions h3. Should we hire an AI agency or build an in-house AI team? Neither is automatically right - it depends on whether your constraint is throughput (build) or judgement on an unproven technical path (buy or embed). Most organisations that get furthest do both over time, with an embedded squad opening up new ground and an internal team owning what's proven long-term. h3. What does it mean to 'embed' an AI team instead of building or buying? It means external engineers - and, where the gap is broader than engineering, product and design too - work inside your team on your codebase and workflows, managed by the partner rather than recruited onto your payroll. You get the pace and expertise of an agency without the handoff, and the capability stays with your people as the work ships, rather than leaving when the vendor's engagement ends. h3. Is embedding more expensive than hiring in-house? It avoids the costs hiring carries that don't show up on a rate card: recruitment time, ramp-up months before a new hire is productive, and the risk of a hire that doesn't work out. For a single well-scoped workflow or an unproven technical path, embedding is typically faster to value than recruiting, even before those hidden costs are counted. h3. Can we switch from an embedded team to fully in-house later? Yes, and it's the point of the model done properly. Because the embedded team works inside your codebase and processes rather than a vendor's own systems, the capability transfers as the work ships. The two-and-a-half-year Tesco engagement is the model held over the long term rather than a one-off deployment; other engagements are structured to hand over sooner, once your team can run what's been built. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Best Digital Product Agencies in UK 2026 | &above Source: https://www.andabove.com/feed/best-digital-product-agencies-in-uk-2026-the-complete-guide Description: The top digital product agencies in the UK for 2026 - from AI-native studios to hybrid firms - and how to choose the right partner. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Best Digital Product Agencies in UK 2026: The Complete Guide `Product` *27 Feb 2026* ![Best Digital Product Agencies in UK 2026: The Complete Guide](https://www.andabove.com/content-media/feed/best-digital-product-agencies-in-uk-2026-the-complete-guide/hero.gen.jpg) h2. Executive Summary: The 2026 Digital Product Agency Landscape The UK digital product market has undergone a radical transformation. The traditional "design-first" model - characterised by static deliverables and six-month timelines - is obsolete. In 2026, enterprise buyers demand AI-integrated workflows, rapid velocity, and measurable commercial outcomes. Agencies are no longer just creative vendors; they are strategic growth partners. The market has bifurcated into three distinct categories: heritage consultancies, AI-native studios, and hybrid firms that blend strategic depth with algorithmic speed. h2. The New Standards for Leading Digital Product Agencies Top-tier agencies have moved beyond pixel perfection to embrace AI-augmented operations. Leading firms now utilise machine learning to analyse user behaviour and generate design variations, compressing iteration cycles from weeks to days. Key performance indicators for 2026 include: - Measurable Business Impact: "Beautiful design" is insufficient. Agencies must demonstrate reduced churn, faster onboarding, and direct revenue lift. - Continuous Optimisation: The "launch and leave" model is dead. Top partners engage in perpetual refinement based on real-time user data. - Hybrid Delivery: The most effective agencies pair AI velocity with human strategic judgment, offering a middle ground between expensive heritage firms and automated low-cost studios. h2. Agency Profiles by Specialisation h2. Design-Led Innovation &above As a premier service-based enterprise AI product studio, &above exemplifies the hybrid model. They specialise in helping large tech and growth companies design, build, and embed custom AI transformations. h2. Enterprise & Regulated Industries Foolproof Specialising in high-stakes sectors like financial services and energy, Foolproof is the go-to for compliance-heavy environments. Their strength lies in navigating complex regulatory frameworks without sacrificing usability. They are ideal for established brands requiring deep domain knowledge in banking or healthcare, where security and accessibility are non-negotiable. h2. Creative & Technical Hybrid Ustwo Renowned for blending gaming mechanics with utility, Ustwo bridges the gap between emotional engagement and technical rigor. Known for creating "Monument Valley," they apply similar engagement strategies to banking apps and mobility solutions. They are best suited for businesses needing high-fidelity creativity backed by solid engineering. Equal Design For companies requiring end-to-end execution, Equal Design offers a robust blend of award-winning product strategy and full-cycle development (React/Next.js). They excel in translating concepts into scalable code for SaaS ERPs and energy tech platforms. h2. AI-Native & Efficiency-Focused Fivecube Agency Representing the new wave of AI-native studios, Fivecube utilises intelligent automation to deliver results at 40-70% lower costs than traditional firms. With rapid iteration cycles of 1-4 weeks, they are optimised for startups and MVPs where speed to market is the primary competitive advantage. h2. Choosing the Right Agency: A Decision Framework Selecting a partner depends on your specific maturity stage and risk profile. Select a Traditional Agency (£50k+, 3-6 months) if: - You are a heritage brand with strict legacy requirements. - The project involves physical-digital bridging or broadcast channels. - Regulatory compliance requires extensive, manual documentation. Select an AI-Native Studio (Low cost, 1-4 weeks) if: - Speed is your primary differentiator. - You need to validate a SaaS concept or MVP quickly. - Budget constraints prevent six-figure investments. Select a Hybrid Agency (Strategic & Agile) if: - You need enterprise-grade strategy delivered with AI velocity. - Your product must perform in both Google and AI search ecosystems. - You view the product as a living system requiring continuous optimization. h2. Pricing & Budget Planning Guide Pricing structures have shifted to reflect value-based outcomes rather than just hours billed. Project Budget Ranges: - SaaS MVP: £10,000 - £25,000 - Enterprise Platform: £50,000 - £150,000+ - Ongoing Optimisation: £1,000 - £10,000/month h2. Geographic Hubs & Regional Opportunities London remains the undisputed capital of UK design, hosting giants like Pentagram and &above. Enterprise clients overwhelmingly focus their searches here. Manchester is the fastest-growing challenger, with searches for local product agencies rising 40% year-over-year. It is becoming a key hub for innovation outside the capital. Brighton and Bristol continue to thrive as creative clusters, particularly for boutique agencies focusing on SaaS startups and creative technology. h2. Critical Questions to Ask Prospective Agencies To separate strategic partners from outdated vendors, ask these qualifying questions: - "Can you prove revenue impact?" Demand metrics on churn reduction or conversion lift, not just aesthetic portfolios. - "What is your continuous optimisation process?" If they have no plan for post-launch iteration, walk away. - "How is AI integrated into your workflow?" Look for specific tools that accelerate delivery, not vague buzzwords. h2. The Future: From Vendors to Strategic Partners In 2026, the cost of poor design is quantifiable: 88% of users will not return after a bad experience, and businesses lose 35% of potential revenue due to friction. The winners in this new landscape are agencies that operate as cross-functional partners. They combine privacy-first practices, AI acceleration, and human empathy to build products that are not only functional but discoverable. Whether you choose a heritage firm or a hybrid studio like &above, the priority must be on measurable growth and adaptability in an AI-first world. h2. Frequently Asked Questions h2. What are the three main types of digital product agencies in 2026? Heritage consultancies, AI-native studios, and hybrid firms. Heritage agencies offer deep strategy but take longer (3-6 months). AI-native studios prioritize speed and cost efficiency. Hybrid agencies blend strategic depth with algorithmic velocity for enterprise clients. h2. How much does a digital product agency cost? Boutique agencies charge £40-70/hour; mid-tier specialists £100-149/hour; award-winning consultancies £150-199/hour. Project costs range from £10,000-£25,000 for SaaS MVPs to £50,000-£150,000+ for enterprise platforms. Ongoing optimisation runs £1,000-£10,000 monthly. h2. Which UK cities are best for finding digital product agencies? London dominates with firms like Pentagram and &above. Manchester is the fastest-growing hub with 40% year-over-year search growth. Brighton and Bristol excel for boutique SaaS and creative technology agencies. h2. Check out our related articles - What is a digital product agency and why does your business need one? - Digital Product Trends for 2025: What agencies should watch - How to pick the right Digital Product Agency in London - 10 questions to ask before hiring a digital product agency - 5 signs you need a digital product agency h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Forward Deployed Engineers Alone Won't Fix AI ROI | &above Source: https://www.andabove.com/feed/forward-deployed-engineers-alone-wont-fix-ai-adoption Description: Every AI lab now has forward deployed engineers. What the FDE model solves, what it doesn't, and why AI adoption needs capability built, not bundled. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Forward deployed engineers alone won't fix your AI adoption problem. Here's what will `AI` *27 Jul 2026* ![Forward deployed engineers alone won't fix your AI adoption problem](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) A forward deployed engineer will get your first AI workflow into production. That is what the model is built for, and it genuinely works. What it does not do on its own is leave your organisation able to build the next three without them. That gap, between one successful deployment and a standing capability, is where most enterprise AI programmes are currently stuck. Forward deployed engineer used to mean something specific. Palantir built the model in the early 2010s: a senior engineer embedded inside a customer's environment, with commit rights on their stack, judged on whether the system worked in production. No handoff, no deck, no separation between the person who scoped the problem and the person who shipped the fix. In 2026 the title has spread everywhere, and it now tells you almost nothing on its own. What matters is the substance behind it: who has commit rights, what gets left behind, and who owns the outcome once the engagement ends. h2. The title spread faster than the substance OpenAI now runs its own forward deployed engineering function, and in July 2026 it [launched Presence](https://venturebeat.com/orchestration/openai-unveils-presence-a-new-platform-that-lets-enterprises-launch-and-manage-realtime-voice-agents-and-chatbots), an enterprise agent platform delivered exclusively through those engineers and a short list of named systems integrators rather than self-serve. Anthropic is hiring applied AI engineers on the same embedded model. EY [launched forward deployed engineer roles across the UK and Ireland](https://www.ey.com/en_uk/newsroom/2026/04/ey-launches-fde-roles) in April 2026, and the other large consultancies are expected to follow. When a job title arrives everywhere at once, it is usually because it is solving something real. In this case it is. The question is what you are actually buying when someone offers you one. h2. What the forward deployed engineer model genuinely solves The model exists because a specific failure pattern kept recurring. A consulting team hands over a roadmap, an internal team inherits half-finished integration work, and the AI system never reaches production. Removing the handoff removes the failure point. One team scopes the workflow, writes the integration against real production data, and gets paged when it breaks. For a single well-defined workflow with an unclear technical path, that structure works, and it works fast. It is also why we use it. Embedding senior engineers directly in a client team is the first tier of how we deliver, and it is the reason we can ship things like [an AI-powered property valuation platform for Upstix in seven days](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md). You cannot move at that pace through a statement of work and a fortnightly steering committee. So this is not an argument against forward deployed engineers. It is an argument about what happens on the day they leave. h2. Why every model provider suddenly wants one Whoever owns the last mile into a customer's production systems owns the relationship, the renewal, and increasingly the model choice too. That is the part worth reading carefully in the Presence launch. It is a forward deployed engineering model in service of a product, and the product runs on one provider's models. Those engineers are not neutral, and there is no reason they should be. Their job is to get you live on the platform, not to leave you able to run agentic work on whatever stack turns out to fit your organisation in eighteen months. If your agent strategy is going to outlive the current model generation, that distinction matters more than it looks today. h2. What embedding an engineer doesn't solve The industry's own numbers make the gap obvious. Kyndryl's 2026 People Readiness Report [found that 57% of enterprises](https://www.kyndryl.com/us/en/about-us/news/2026/06/ai-adoption-workforce-readiness) now have AI embedded in core business processes or deployed broadly, up from 35% a year earlier, but only 11% have achieved both of their top two AI objectives. McKinsey's [state of AI research](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) puts scaled agentic adoption in single digits within any individual business function, and its work on AI spending has been widely reported as finding that 93% of enterprises exceed their AI budgets, with a large share of that overspend going into refining and correcting agent responses rather than the task itself. None of that is a deployment problem. Deployment, in the narrow sense of getting one workflow into production, is exactly the part the forward deployed model is good at. The gap is organisational. Teams have shipped one agent for one workflow, but they have no way to evaluate the next one, no shared standard for what production-ready means, and no internal capability to keep improving the system once the vendor's engineers move on to the next account. An engineer who leaves once the workflow is live has not closed that gap. Often they have just moved it further out. We have written before about the related version of this problem, where organisations expect [a single AI hire to carry an entire strategy](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md). Embedding someone else's engineer instead of hiring your own does not change the underlying maths. h2. Deployment or capability - which are you actually buying? Before you embed anyone inside your team, ask what they are optimising for once the specific workflow ships. If the answer is renewal on their product, you have bought a deployment. If the answer is that your team can run the next three without them, you have bought capability. Both are legitimate purchases. A deployment is often exactly the right thing to buy, particularly for a first proof of value where the technical path is genuinely unknown. But they are not the same purchase, and conflating them is how organisations end up with a working pilot and no repeatable way to build the next one. It is worth being explicit about which one is on the table before contracts are signed, in the same way you would when [choosing between a large consultancy, an embedded squad and in-house build](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md). h2. How we run forward deployed engineering We deliver in two tiers. The first is [forward deployed engineers](https://www.andabove.com/services/forward-deployed-engineers.md): senior engineers embedded directly in your team, writing code alongside your own engineers, moving at your pace, with none of the handoff overhead of a traditional vendor relationship. The second is an AI product squad, which is the same engineers plus product management and design in one embedded team, so the people deciding what to build are the people building it. Because we do not sell a platform, those squads are not optimising for which model you end up locked into. That independence is the point. We [build agentic systems](https://www.andabove.com/services/ai-agent-development.md) against whatever fits the problem, and the architecture decisions get made on your constraints rather than ours. The work is checkable. We built the agent system now supporting [5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md), taking it from concept to deployment in 90 days. We built the AI-native creative studio that took [Tesco's retail-ad approvals from four weeks to days](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md). Each of those started as a single deployment, and each was structured so the client team could keep extending it. That is the shape of our model: Discover to find the problem actually worth solving, Build to ship it properly, and Scale to make it repeatable without us in the room. Successful innovation is not only about moving fast. It is about creating the conditions where teams feel confident enough to experiment on their own, long after the embedded team has gone home. If that is the problem you are trying to solve, [start a conversation with us](https://www.andabove.com/contact.md). h2. Frequently asked questions h3. What is a forward deployed engineer? A forward deployed engineer is a senior engineer who works embedded inside a customer's team and environment rather than from a vendor's own delivery centre. They typically have access to the customer's production systems, write and ship code against real data, and are measured on whether the system works in production rather than on documents delivered. The model originated at Palantir in the early 2010s and has since been adopted by AI labs, consultancies and product agencies. See [what is a forward-deployed engineer?](https://www.andabove.com/feed/what-is-a-forward-deployed-engineer.md) for a fuller walk-through, including when to hire one versus a full AI product squad. h3. What is the difference between a forward deployed engineer and a consultant? A consultant typically advises and hands over. A forward deployed engineer builds and stays until it works. The practical test is commit rights: if the person recommending the architecture is not the person writing and shipping the integration, the handoff risk that the model was designed to remove is still there, whatever the job title says. h3. Should we hire forward deployed engineers or work with an agency? It depends on whether your constraint is throughput or judgement. Hiring works well when you already know what to build and need more hands on it. An embedded external squad is usually faster when the technical path is unproven, because you get people who have solved the same class of problem across several organisations and can rule out dead ends quickly. Most organisations end up doing both, with internal engineers owning the system long term and external squads used to open up new areas. There is a third shape that gets you both at once: we hire and manage the engineers, they work embedded in your team as if they were your own, and the capability stays with your people when the engagement ends. h3. Why do most enterprise AI deployments stall after the first workflow? Because the first workflow is a technical problem and the second is an organisational one. Shipping one agent proves the technology works in your environment. Shipping the next five requires shared evaluation standards, agreed definitions of production-ready, and enough internal confidence to make build decisions without the original team in the room. Those are capabilities that have to be deliberately built, and they rarely arrive as a side effect of a successful pilot. h3. How do you avoid model lock-in when a vendor deploys your agents? Ask who employs the engineers doing the integration and what they are measured on. If they work for the model provider, the architecture will reasonably be built around that provider's platform. Keeping the orchestration, evaluation and data-access layers under your own control, and having them built by someone with no stake in which model wins, is what preserves the option to change your mind later. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### How a custom software agency helps you scale faster | &above Source: https://www.andabove.com/feed/how-a-custom-software-development-agency-can-help-you-scale-faster Description: How a custom software development agency drives scalability - optimised operations, modern technology, and superior user experiences. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. How a custom software agency helps you scale faster `Engineering` `Product` *28 Mar 2025* ![How a custom software agency helps you scale faster](https://www.andabove.com/content-media/feed/how-a-custom-software-development-agency-can-help-you-scale-faster/hero.gen.jpg) Scaling a business is not just about growing revenue or expanding the customer base - it requires efficiency, agility, and technological innovation. As businesses grow, they often encounter challenges such as outdated processes, siloed operations, and software limitations that hinder productivity and customer experience. A custom software development agency plays a critical role in overcoming these challenges by offering tailored, scalable solutions that evolve with your business. Unlike ‘off-the-shelf’ software, which may lack flexibility and customisation, custom-built solutions provide a competitive edge by aligning precisely with business objectives, user needs, and market demands. In this article, we’ll explore how a custom software development agency like &above can help businesses scale by streamlining operations, leveraging advanced technologies, and enhancing user experiences. ![Custom software development designed by &above](https://www.andabove.com/content-media/feed/how-a-custom-software-development-agency-can-help-you-scale-faster/inline_1.gen.jpg) h2. How custom software development agencies drive business growth A custom software development agency enables business scalability by creating bespoke solutions that address unique pain points, integrate seamlessly into existing systems, and support long-term expansion. h2. 1. Tailored solutions for unique business needs Every business operates differently, with distinct challenges and requirements. Off-the-shelf software - while sometimes cost-effective - may lack the flexibility needed to support specific workflows, limiting scalability and forcing businesses to adopt inefficient workarounds. h2. How custom solutions solve this problem - Designed for your industry: whether you’re in fintech, e-commerce, SaaS, healthcare, or logistics, custom software is built to meet industry-specific needs, ensuring compliance and efficiency. - Seamless workflow integration: custom software can integrate with existing business processes, CRM systems, payment gateways, ERP solutions, or third-party tools - eliminating data silos and inefficiencies. - Automation & efficiency: manual processes can slow down operations and create bottlenecks. Custom software automates repetitive tasks, reducing human error and increasing productivity. - Long-term cost efficiency: while initial costs may be higher than off-the-shelf alternatives, custom solutions reduce reliance on multiple tools, lower maintenance costs, and eliminate the need for unnecessary features. For example, a logistics company struggling with fragmented data across different systems can use custom software to unify tracking, reporting, and communication - enhancing operational visibility and efficiency. h2. 2. Integration of advanced technologies Businesses that fail to leverage emerging technologies risk falling behind competitors. Custom software development agencies like &above, incorporate cutting-edge innovations that enhance efficiency, personalisation, and automation. h2. Key technologies that accelerate scaling - AI & machine learning: automates decision-making, analyses user behavior, personalises recommendations, and optimises marketing strategies. - Cloud computing: provides scalability, security, and cost-efficiency, allowing businesses to scale without massive infrastructure investments. - API integrations: ensures seamless connectivity with payment processors, customer management platforms, analytics tools, and third-party services. h2. Example: AI-powered e-commerce growth A retail company using AI-driven analytics can predict customer preferences, optimise inventory, and automate pricing strategies, leading to increased sales and improved customer experiences. ![Custom mobile UX/Ui designs for real estate company, Upstix](https://www.andabove.com/content-media/feed/how-a-custom-software-development-agency-can-help-you-scale-faster/inline_2.gen.jpg) h2. 3. Scalability and flexibility One of the biggest limitations of off-the-shelf software is that it may not adapt as your business grows. Custom software development ensures scalability by building solutions that expand alongside your needs. h2. Key features of scalable software - Modular architecture: new features and integrations can be added without disrupting the core system. - Elastic infrastructure: cloud-based solutions enable businesses to scale up or down as needed, optimising costs. - Data security & compliance: custom software allows businesses to integrate security measures, data encryption, and regulatory compliance protocols (e.g., GDPR, HIPAA, PCI-DSS). h2. Example: SaaS platform scaling efficiently A SaaS company experiencing rapid growth can benefit from a custom-built cloud-based architecture, allowing for multi-tenancy, load balancing, and database optimisation - ensuring seamless performance as users increase. h2. 4. Enhanced user experience (UX/UI) A great user experience (UX) directly impacts customer retention, engagement, and conversion rates. Poor UX/UI can lead to frustration, increased churn, and lost revenue. h2. How custom software improves UX/UI - User-centric design: ensures the interface is intuitive, visually appealing, and easy to navigate. - Performance optimisation: custom-built software minimises lag, improves page speed, and enhances interactivity. - Personalisation & AI driven insights: dynamic content, recommendations, and user behavior tracking improve engagement. h2. Example: Fintech app with optimised UX A fintech startup offering mobile banking solutions benefits from a well-designed, frictionless user experience, ensuring users can transfer funds, view statements, and access services effortlessly. ![Custom software development for a real estate app](https://www.andabove.com/content-media/feed/how-a-custom-software-development-agency-can-help-you-scale-faster/inline_3.gen.jpg) h2. Services offered by &above As a leading creative and digital product agency, &above provides end-to-end services designed to help businesses launch, scale, and grow. Their expertise spans strategy, product design, and development. h2. 1. Strategy services A well-defined strategy is crucial for scaling. &above helps businesses develop: - Brand strategy – creating a compelling identity that differentiates businesses from competitors. - Go-to-market strategy – planning successful product launches for maximum impact. - Content & product marketing strategy – enhancing brand awareness, customer engagement, and sales. h2. 2. Creative services Strong branding and design are essential for capturing user attention. &above specialises in: - Brand identity & Webflow websites – designing modern, user-friendly websites. - Graphic design & illustration – strengthening brand identity and messaging. - Video & motion graphics – engaging audiences with compelling visual storytelling. h2. 3. Product development Scaling businesses need robust, scalable products. &above provides: - Product design & development – crafting seamless user experiences, developing custom software solutions for web, mobile, and SaaS platforms. - API & third-party integrations – connecting businesses with e-commerce platforms, CRMs, and analytics tools. h2. Q&A: common questions about custom software development & scaling h2. Q1: How does custom software compare to off-the-shelf solutions? A: Custom software is built to match your business needs, scale efficiently, and integrate seamlessly, unlike off-the-shelf solutions that may be rigid, lack flexibility, or require costly modifications. h2. Q2: How long does it take to develop custom software? A: Timelines vary based on complexity, features, and integrations. Simple solutions can take anywhere between 1- 6 months, while advanced platforms may take 9-12 months or more. However, any of these builds can be completed in a “sprint” fashion, meaning it is prioritised by the team to design and produce phases of the project much quicker. h2. Q3: What industries benefit most from custom software development? A: Industries such as fintech, SaaS, healthcare, logistics, AI-driven businesses, and e-commerce benefit significantly. h2. Q4: How does &above differentiate from other agencies? A: &above combines branding, strategy, product development, and marketing, ensuring businesses not only develop world-class software but also successfully scale and market their products. h2. Final thoughts How a custom software development agency drives scalability - optimised operations, modern technology, and superior user experiences. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Should you hire an AI engineer? | &above Source: https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy Description: Hiring an AI engineer is a milestone, not a strategy. Real AI transformation pairs internal capability with external expertise. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Should you hire an AI engineer? `AI` *9 Jul 2026* ![Should you hire an AI engineer?](https://www.andabove.com/content-media/feed/hiring-an-ai-engineer-isnt-your-ai-strategy/hero.gen.jpg) Over the past year, I've noticed a shift in the conversations we're having with businesses. A year ago, the question was: Should we invest in AI? Today it's: Should we hire an AI Engineer? On the surface, that feels like progress - organisations are moving beyond experimentation and investing in internal capability. But I think there's a misconception emerging. Whilst hiring an AI Engineer is an important milestone, it isn't an AI strategy. Too often, organisations expect a single hire to solve a challenge that's fundamentally organisational. They're expected to evaluate tools, build agents, redesign workflows, train colleagues, influence leadership, establish governance, integrate systems, measure ROI and somehow keep pace with one of the fastest moving technologies we've ever seen. That's an impossible brief. Not because the individual isn't capable, but because AI transformation has never been a one person job. We've seen this pattern before. Businesses didn't digitally transform because they hired one developer. They didn't become data driven because they hired one analyst. And they won't become AI native because they hire one AI Engineer. Technology is only one part of the equation, the harder challenge is redesigning how work happens. That means understanding where AI creates genuine value, rethinking workflows across departments, building governance that enables innovation, rather than restricting it, and creating systems that allow knowledge to be shared instead of trapped within teams. This is where many organisations unintentionally create a bottleneck. The AI Engineer becomes the centre of every AI initiative - every question flows through them, every experiment depends on them, every new opportunity waits in their backlog. Instead of scaling AI across the organisation, they've centralised it around one individual. The organisations making the fastest progress are taking a different approach. They're building internal capability while drawing on external expertise. Their AI Engineers focus on embedding AI into day-to-day operations and external partners bring experience gained across dozens of organisations, helping avoid common pitfalls, challenge assumptions and accelerate decisions that would otherwise take months to reach. It's not an either-or decision but a complementary partnership. Internal teams understand the business better than anyone and external partners bring perspective the business can't develop in isolation. There's also a version of this that removes the trade-off entirely, and it's the model we run at &above: we hire the AI engineers, we manage them, and they work embedded inside your team on your workflows. You get the in-house build you wanted without the recruitment risk or the management load, and the capability transfers to your people as the work ships. It's how an embedded squad of ten ran inside Tesco for two and a half years and took creative compliance reviews from four weeks to days. Hiring an AI Engineer isn't the finish line. For most organisations it's the starting point, and you don't have to start it alone. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [The fastest way to waste money on AI](https://www.andabove.com/feed/the-fastest-way-to-waste-money-on-ai.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### How to pick a digital product agency in London | &above Source: https://www.andabove.com/feed/how-to-pick-the-right-digital-product-agency-in-london Description: A step-by-step guide to choosing the right digital product agency in London, drawing on the latest research and agency rankings. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. How to pick the right Digital Product Agency in London `Product` *28 Oct 2025* ![How to pick the right Digital Product Agency in London](https://www.andabove.com/content-media/feed/how-to-pick-the-right-digital-product-agency-in-london/hero.gen.jpg) Choosing the right digital product agency in London is a defining step for any modern business, whether launching a new app, streamlining an existing service, or reimagining an entire digital experience. With its unique blend of technical innovation, creative energy, and competitive landscape, London is home to numerous agencies vying for your trust. A step-by-step guide to choosing the right digital product agency in London, drawing on the latest research and agency rankings. For a direct look at how &above approaches product strategy, design, and engineering, see our [digital product agency services](https://www.andabove.com/services/digital-product-agency.md). h2. Table of Contents - Introduction: Why the Right London Agency Matters - Clarifying Your Digital Product Vision - The Key Criteria to Evaluate Track Record and Proven ResultsTechnical and Strategic ExpertiseIndustry Experience and Specialist FocusCommunication, Collaboration Style, and Cultural FitScalability, Partnership Potential, and Future SupportPricing Transparency and Real Value - Track Record and Proven Results - Technical and Strategic Expertise - Industry Experience and Specialist Focus - Communication, Collaboration Style, and Cultural Fit - Scalability, Partnership Potential, and Future Support - Pricing Transparency and Real Value - Understanding Agency Service Offerings - Decision-Making: Red Flags & Mistakes to Avoid - Q&A: Advanced Questions for Smart Agency Selection - Conclusion: Setting Up for Digital Success in 2025 ![Inline Image 1](https://www.andabove.com/content-media/feed/how-to-pick-the-right-digital-product-agency-in-london/inline_1.gen.jpg) h2. Introduction: Why the Right London Agency Matters London’s status as a global tech and creative hub means businesses here encounter some of the most innovative digital agencies worldwide. However, the sheer variety also means that making the wrong choice can result in lost time, budget overruns, disappointing user outcomes, and failed launches. The ideal agency is not simply a supplier, they are a strategic partner, aligning your business vision with human-centred digital products grounded in the realities of compliance, scale, and ongoing change. h2. Clarifying Your Digital Product Vision Before researching agencies, your team should define: - Core goals: What business outcomes do you want: more customers, streamlined operations, brand repositioning, etc.? - Project scope and needs: Mobile app, web platform, e-commerce, SaaS, or hybrid? Consider security, integration, user personas, and accessibility requirements. - Budget and timeline: Be realistic about constraints, priorities, and flexibility. - Stakeholder alignment: Identify the internal champions and end-users influencing project success. This foundation enables more focused interviews, shortlist reviews, and the development of proposals later on. h2. The Key Criteria to Evaluate h2. Track Record and Proven Results - Case studies and references: Does the agency’s portfolio show depth, variety, and recent, relevant delivery? Are their skills evidenced by measurable outcomes, not just pretty images? - Market recognition: Awards and reviews signal excellence, but always look for tangible, real-world impact like increased engagement, retention, revenue, or positive user metrics. - Client types: Have they partnered with businesses like yours, or navigated similar technical or compliance environments? h2. Technical and Strategic Expertise - Up-to-date technology: Are they active in modern frameworks, cloud platforms, and emerging AI or automation toolsets? - UX and accessibility leadership: Do they build delightful yet universally usable user experiences and have evidence of inclusive design in their work? - Methodology: Agile, iterative delivery with regular milestones, user testing, and rapid feedback loops is best for most digital projects in 2025. h2. Industry Experience and Specialist Focus - Sector expertise: Agencies that regularly deliver for your industry (fintech, SaaS, health, retail, etc.) shortcut learning curves and anticipate risks. - Specialisation vs. full service: Niche agencies offer deep knowledge, while end-to-end providers offer cohesive strategy and consistent communication throughout every phase. Your business needs should determine which approach fits best. h2. Communication, Collaboration Style, and Cultural Fit - Transparency: Reliable updates, clear timelines, and documentary evidence of progress (like Jira boards, Figma files, Notion wikis) are all essential signals. - Responsiveness: Is the project team easy to reach, proactive in troubleshooting, and honest about challenges or delays? - Values match: Do you share attitudes to sustainability, diversity, and long-term growth? Projects succeed when both client and agency are aligned on more than technical details. h2. Scalability, Partnership Potential, and Future Support - Ongoing support: Will your agency help after go-live, with analytics, maintenance, and enhancements, or will you need to find new partners for every new phase? - Capacity to scale: As your ambitions grow or shift, can the agency add new skills, resources, and even products as you evolve? h2. Pricing Transparency and Real Value - Clear, itemised proposals: Avoid agencies with vague or catch-all pricing demand breakdowns for design, engineering, QA, project management, and support. - True value: The cheapest agency rarely delivers long-term impact, while top agencies justify their premium with proven ROI, security, technical depth, and ongoing partnership benefits. Ask for evidence. h2. Understanding Agency Service Offerings Most top London digital product agencies provide a menu that includes: h2. UI/UX Design - What It Covers: Web, app, voice, and device interfaces for maximum usability, branding, and accessibility. - Example Deliverables: Wireframes, interaction flows, prototypes. h2. Branding & Visual Identity - What It Covers: Full service from naming to design systems, ensuring user recognition and trust. - Example Deliverables: Logo, style guide, pattern libraries. h2. Prototyping & MVP - What It Covers: Early models to validate ideas and minimise risk before heavy investment. - Example Deliverables: Clickable prototypes, pilot launches. h2. Web/App Development - What It Covers: Frontend and backend builds, cloud and API integration, automation, and CMS management. - Example Deliverables: Deployed code, handover documentation. h2. AI-Driven & Personalised UX - What It Covers: Real-time recommendations, analytics dashboards, and user-driven product features using the latest automation and AI. - Example Deliverables: Dynamic content, data visualisation. h2. Voice & Conversational UI - What It Covers: Voice-activated or chatbot interfaces, especially for fintech and smart device innovation. - Example Deliverables: Bot scripts, Alexa/Google integration. h2. Accessibility Compliance - What It Covers: Meeting and exceeding WCAG and UK regulatory requirements to include every user. - Example Deliverables: Accessible prototypes, compliance reports. h2. Sustainability Consulting - What It Covers: Efficient coding, green hosting, digital carbon reduction, and responsible design for the planet and PR requirements. - Example Deliverables: Green audits, eco-friendly design reports. Service depth and process quality are usually what separate agencies at the top of the London market from generic “web design” or “dev shops”. h2. Decision-Making: Red Flags & Mistakes to Avoid - Too-good-to-be-true quotes or vague timelines: These often mean hidden costs or unproven teams. - Lack of independent references: No real-world proof from prior clients is a major red flag. - Fixed waterfall (“big bang”) approach: Modern agencies must deliver iteratively and rapidly; rigid, upfront planning is a risk for most modern products. - Poor communication: If emails go unanswered or you feel “sold to,” not consulted, consider other options. - No post-launch support or knowledge transfer: Your journey doesn’t end at launch. Ensure agencies help you own the platform and upskill your team. ![Inline Image 2](https://www.andabove.com/content-media/feed/how-to-pick-the-right-digital-product-agency-in-london/inline_2.gen.jpg) h2. Q&A: Advanced Questions for Smart Agency Selection h2. Q1: What distinguishes a truly top-tier digital product agency in London? The best agencies balance robust case studies, sector insight, technical finesse, and genuine post-launch partnership. They’re transparent about process, upfront about risks, and treat each client as a long-term collaborator rather than a quick win. h2. Q2: Should I pick a specialist or a full-service agency? Specialists offer depth in complex areas (e.g., fintech compliance or AI), while “full-stack” agencies enable integrated delivery and single-point accountability. Choose based on your in-house skills and the complexity of your roadmap. h2. Q3: What’s a realistic project timeline? A focused MVP could launch in 8–16 weeks, while full-scale platforms with integrations or heavy compliance might take 4–12 months. Phased approaches, with early validation and regular feedback, are preferred to manage evolving goals without blowing the budget. h2. Q4: What value does continued support bring post-launch? Agencies invested in ongoing success ensure fast bug fixes, analytics set-up, feature enhancements, training, and roadmap planning. This proactive partnership keeps your digital product aligned with changing user needs and technology. h2. Q5: How important is industry experience for a great agency to “learn” my sector? While some generalist agencies can adapt, those with established sector experience ramp up faster, navigate regulatory hurdles more efficiently, and often anticipate user needs better. For highly regulated or technical spaces (like health or finance), prioritise those with direct industry experience. h2. Q6: What questions should I ask agencies during my selection process? - Can you walk me through a recent full lifecycle case study similar to my project? - How do you ensure communication and feedback are managed at every stage? - What’s your handover process? Will my team be able to manage and improve the product independently after launch? - What is your approach to accessibility and sustainability in digital product design? - Who will be my main point of contact, and what happens if there are staff changes mid-project? h2. Q7: What does &above do differently in the London agency space? &above delivers immersive, accessible, and analytics-driven digital products, blending local London market insight with global best practices. Known for agile methodology, transparent communication, and a client-empowering ethos, &above’s portfolio balances standout creativity with robust technical compliance, making them a partner for both launch and long-term digital evolution. h2. Conclusion: Setting Up for Digital Success in 2025 The path to digital success in London’s dynamic market is paved by rigorous agency selection, grounded in clear criteria, open communication, and a shared vision of scalable, human-centred products. Agencies like &above bring together technical mastery, industry insight, and a partnership mindset, empowering businesses well beyond their project’s initial launch. Businesses that follow this guide, defining needs, asking the right questions, and vetting with care position themselves for true digital transformation, exceptional user outcomes, and resilient market advantage in 2025 and beyond. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Native agent identity isn't the finish line | &above Source: https://www.andabove.com/feed/native-agent-identity-isnt-the-finish-line Description: Borrowed or native, broad or narrow - agent identity is two problems, not one. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Native agent identity isn't the finish line `AI` *29 Jun 2026* ![Native agent identity isn't the finish line](https://www.andabove.com/content-media/feed/native-agent-identity-isnt-the-finish-line/hero.gen.jpg) Four major announcements landed in the AI identity space this month: - [Okta became a featured identity provider for Claude Enterprise](https://www.okta.com/newsroom/press-releases/okta-becomes-a-featured-identity-provider-powering-secure-ai-agent-connections-for-claude-enterprise/) - [1Password acquired Apono and launched Credential Broker](https://1password.com/blog/1password-acquires-apono) - [WorkOS launched auth.md](https://workos.com/blog/agent-registration-with-auth-md) - [Anthropic published how agent identity works in Claude Tag](https://claude.com/blog/agent-identity-access-model) Most people are reading these as the same story. They're not. The industry is treating agent identity as a single question: does the agent borrow a human identity or have one of its own? That's only half the problem. There are actually two axes that matter: - Whose identity is it? Borrowed or native? - How scoped is it? Broad and persistent, or narrow and task-specific? Once you look through that lens, the market starts to separate quite quickly. h2. We've already lived the borrowed identity problem We ran into it on a client project before any of these solutions existed. We needed an agent to act on behalf of a user inside a platform that had no concept of agent authentication - it only knew how to authenticate humans. Our first approach was browser automation. The agent navigated the application through the DOM like a person would. It worked until it didn't. A browser extension injected an extra element into the page and broke the flow. A password manager hint appeared where the script wasn't expecting it. The whole thing became fragile because it depended on the interface never changing shape. The second approach was credential brokering. The agent never saw the password; access was granted through an intermediary. This was safer and more robust, but fundamentally nothing had changed. The agent was still pretending to be a person - it was just an impersonation with better locks. h2. Why the recent moves matter They're all trying to address the same underlying reality: agents need identities of their own. Native identity is progress, but not the destination. Okta and 1Password are extending systems originally built for humans. They're solving an important problem, but the model is still fundamentally a borrowed identity - the agent acts through access derived from a person. WorkOS and Claude Tag move to the other side of the line. Instead of asking how an agent can safely borrow a human identity, they ask whether the agent should have its own. That's real progress, but identity isn't the only axis. h2. Scope is the second axis The second question is scope: how much access should an agent have? This is where Claude Tag becomes particularly interesting. Anthropic gives Claude its own identity - it has its own service accounts and acts as itself rather than borrowing your credentials. But Anthropic also recommends broad access within a channel so Claude can be useful across the team's workflows. That's understandable from a product perspective. It's also very different from where agent security may ultimately need to end up. A growing argument in the industry is that agents should start narrow, not broad. Each task gets a fresh identity with the minimum capabilities required to complete that task. Access comes from what you've explicitly handed the agent, not from standing permissions waiting to be used. Which means the market doesn't look like a single spectrum. It looks more like: - Okta and 1Password - borrowed identity, broad access - Claude Tag - native identity, broad access - The likely destination - native identity, narrow access That's a much more useful way to understand what's actually happening. h2. The accountability question nobody has answered There's another implication hidden underneath all of this. Most security models assume authority ultimately traces back to an accountable individual. "Claude acting on behalf of Bob" is easy to reason about. But Claude Tag works differently - the identity belongs to the channel and the permissions are administered at the channel level. That's practical for teams, but it raises an interesting question. If an agent's identity belongs to a channel rather than a person, who do you point at when it breaks? Who owns the decision? Who owns the consequence? That's not a criticism of Claude Tag. In many situations it's exactly the right trade-off. But it's an open question. Native identity solves impersonation. It doesn't automatically solve scope, and it doesn't automatically solve accountability. Those are the problems worth watching now. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. 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Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### How &above Delivers Enterprise AI at Startup Speed | &above Source: https://www.andabove.com/feed/how-above-delivers-enterprise-ai-at-startup-speed Description: How &above takes teams from AI strategy to production in 90 days - embedded squads, behavioural design, and a proven launchpad method. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. How &above Delivers Enterprise AI at Startup Speed `AI` *27 Feb 2026* ![How &above Delivers Enterprise AI at Startup Speed](https://www.andabove.com/content-media/feed/how-above-delivers-enterprise-ai-at-startup-speed/hero.gen.jpg) Most enterprises know what AI should deliver. Fewer know how to make it happen fast. Deloitte's 2026 State of AI in the Enterprise report reveals the gap: 42% of companies believe their strategy is ready for AI adoption, but they feel unprepared when it comes to infrastructure, data, risk, and talent. The result? Stalled pilots, fragmented initiatives, and AI programs that take quarters to deliver what should take weeks. &above operates differently. Startup speed. Enterprise scale. The kind of velocity that takes their Google Cloud solution from concept to deployment in 90 days, cutting costs by 84% while accelerating timelines by 3x. That's not luck or shortcuts. It's methodology. This is how it works. h2. The Speed Problem in Enterprise AI Traditional consultancies move slow by design. Discovery phases stretch for months. Deliverables arrive as slide decks, not working systems. Knowledge stays locked in the consulting team, not transferred to yours. When the engagement ends, momentum dies. Pure tech vendors move fast but shallow. They ship tools, not transformation. AI gets bolted onto legacy workflows instead of reshaping them. Adoption stalls because nobody designed for the humans who have to use it daily. The industry data proves it: Gartner predicts that by 2026, over 80% of enterprises will have GenAI in production, but most will struggle to scale beyond isolated use cases. PwC's research shows the pattern: organisations spread efforts thin, placing small sporadic bets that deliver modest efficiency gains but never add up to transformation. &above sits between these extremes. Enterprise rigor without enterprise drag. Startup velocity without startup chaos. The approach flips traditional consulting: instead of delivering then disappearing, teams embed, build side-by-side, and transfer knowledge as they go. Tools stick. Momentum builds. Results compound. h2. The 90-Day AI Launchpad: From Opportunity to Production Speed starts with structure. The AI Launchpad compresses what typically takes six to nine months into 90 days, moving from opportunity identification to working prototype to production-ready system. This AI strategy and transformation methodology combines Define, Build, and Embed phases to deliver measurable outcomes fast. h2. Define: Uncover Opportunities & Test What's Possible Most AI initiatives stall before they start because teams can't align on what to build or why it matters. The first phase cuts through ambiguity: - AI opportunity discovery sessions map where AI delivers genuine business value, not just technical novelty - Hands-on co-creation workshops bring stakeholders into the build process early, surfacing constraints and priorities before they become blockers - Proof of concept development validates feasibility with real data and real workflows, not hypothetical scenarios This phase typically runs between 2-4 weeks. The output isn't a lone strategy document. It's a working PoC and a roadmap with clear sequencing. h2. Build: Craft Smart & Scalable AI Products With direction locked, the build phase moves fast. Designers, engineers, and AI specialists work as a single unit, shipping iteratively rather than waiting for perfection. Behavioral design sits at the core. UXMatters' 2024 research shows behavioral design increases adoption rates by up to 200%. That's the difference between an AI tool that gets ignored and one that becomes essential. &above designs for the humans first, then wraps AI around their actual workflows. The results show it. Dunnhumby's self-service adoption jumped 2.6x. Outperform's sign-ups climbed 210%. These aren't marginal improvements. They're step-changes driven by systems people actually want to use. h2. Embed: Integrate Experts to Transform & Iterate Fast AI transformation doesn't end at deployment. The third phase embeds experts directly into client teams to sustain momentum, refine systems, and scale across the organisation. - AI training and workshops build internal capability so teams can iterate without external dependency - Embedded delivery squads plug into existing structures, working in client hours and adapting to client rhythms - Office hours and consultancy provide ongoing support as edge cases emerge and requirements evolve This is the &above philosophy in action. Knowledge doesn't leave when the engagement ends. It stays embedded in the team, the tools, and the processes. h2. Why Speed Doesn't Mean Shortcuts Fast delivery without rigor creates technical debt and adoption failure. &above's speed comes from eliminating waste, not cutting corners. Clear goals before code. PwC's 2026 AI predictions emphasise what separates successful AI programs from stalled pilots: leadership picks specific, high-value workflows and applies enterprise muscle to execute. &above follows this pattern. The Define phase locks goals, success metrics, and ownership before building starts. No ambiguous mandates. No scope creep mid-sprint. Behavioral scaffolding, not feature lists. Most AI projects fail on adoption, not technology. Teams build impressive capabilities that nobody uses because the system doesn't fit how people actually work. Behavioral design addresses this upfront, designing workflows around human behavior rather than forcing behavior change to match the tool. This focus on organisational readiness for AI transformation separates sustainable implementations from surface-level pilots. Data quality as a foundation. AI can't deliver on bad data. &above treats data architecture as a first-order concern, not an afterthought. Clean, accessible, un-siloed data enables faster iteration and more reliable outputs. When Google Cloud saw 3x deployment acceleration, data readiness was part of the foundation. Proof-of-concept discipline. Define measurable goals. Sandbox the work. Use test data. Iterate quickly. Ship value early. This approach de-risks investment and validates direction before scaling. MIT's 2025 NANDA report shows strategic partnerships like this deliver 2x the success rate of internal-only AI builds, with 88% of early enterprise adopters reporting positive ROI. h2. The Embedded Team Model: How Integration Accelerates Delivery Traditional consulting creates a wall between the consulting team and the client team. Information flows through status meetings and slide decks. Decisions get delayed. Context gets lost in translation. &above embeds directly. Designers, engineers, and strategists work as extensions of client teams, not external vendors. They join standups, use client tools, work client hours, and ship to client roadmaps. This model solves three speed killers: - Decision latency drops. When the team building the system sits in the same (virtual) room as the stakeholders who'll use it, questions get answered in minutes, not days. Iterations happen faster because feedback loops tighten. - Knowledge transfer becomes automatic. Clients don't just receive documentation at the end. They learn by doing, side-by-side, throughout the build. By the time the system goes live, internal teams already know how to maintain and extend it. - Cultural fit improves adoption. Embedded teams absorb organisational context naturally. They understand the unwritten rules, the political dynamics, the legacy constraints. Systems get designed with this reality baked in, not as an afterthought during deployment. Tesco's 71% faster campaign launches didn't come from better technology alone. They came from a team that understood how Tesco's marketing org actually operated and designed the system to fit that reality. h2. What Enterprise Speed Actually Looks Like The results tell the story better than the process: These aren't isolated wins. They're the pattern that emerges when methodology aligns with execution. The common thread: each engagement started with a tight scope, clear metrics, and a working prototype within weeks. No six-month discovery phases. No endless requirement gathering. Define, build, embed. Ship value early. Iterate based on real usage, not projected needs. Deloitte's research shows only 34% of organisations use AI to deeply transform their business. The rest optimize at the margins. &above's model targets that 34%. Not incremental efficiency. Wholesale transformation of how work gets done. Enterprise AI doesn't have to move at enterprise pace. The constraint isn't technology or talent. It's methodology. Traditional models optimise for billable hours and knowledge retention, not speed and knowledge transfer. &above optimises differently. Tight scopes. Clear goals. Embedded teams. Behavioural design. Iterative shipping. Knowledge transfer built into every sprint. This isn't a marketing claim. It's a repeatable framework proven across Google, Tesco, Dunnhumby, and dozens of ambitious organisations. Startup speed. Enterprise scale. That's not a contradiction. It's the operating model for AI transformation in 2026. Ready to move from strategy to prototype in 90 days? Explore the AI Launchpad or get in touch to discuss your transformation. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### How much does AI product development cost? | &above Source: https://www.andabove.com/feed/how-much-does-ai-product-development-cost Description: There's no single rate card for AI product development. What actually drives cost is the engagement model you choose and when you choose it. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. How much does AI product development cost? `AI` *18 Jul 2026* ![Abstract particle artwork](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) It's one of the first questions every team asks us, and it's also the hardest to answer honestly with a single number. AI product development doesn't have a rate card the way, say, a website rebuild does - the cost is driven almost entirely by which engagement model fits where you are, not by a day rate multiplied by a headcount. h2. Why there's no single answer A discovery workshop that aligns leadership on where AI can create value costs a fraction of building and shipping a production agent system. A proof of concept that validates one use case with sample data costs a fraction of an embedded squad delivering a full product over several months. Anyone who quotes you a flat number before understanding which of those you actually need is guessing. The more useful question isn't 'what does AI product development cost' - it's 'what's the smallest, cheapest step that tells us whether this is worth a bigger investment?' h2. The three engagement models, and what drives their cost We structure AI work into three stages, and cost scales with each one: - Discovery workshops (an AI Launchpad, in our case) - a fixed-scope, few-week engagement to align stakeholders and identify the highest-value opportunities. Lowest cost, lowest risk, and often the step teams skip when they shouldn't. - Proofs of concept - a working technical prototype that tests feasibility and real-world impact with sample data, before you commit to a full build. Mid-cost, and the stage most likely to save you from an expensive mistake. - Embedded product or design squads - cross-functional teams of AI engineers, product managers, and designers delivering a full production build. This is where most of the budget goes, and it should only start once discovery and proof of concept have de-risked the bet. Skip straight to the third stage without the first two and you're paying full build cost to find out things a workshop or prototype would have told you for a tenth of the price. h2. What actually moves the number, within each stage Once you're in a given stage, a handful of factors drive the real cost more than anything else: how much of your data and systems the AI needs to integrate with, whether you're automating an existing workflow or designing a new one from scratch, how much governance and testing the use case demands, and how senior a team the work requires. A customer-facing agent handling real transactions needs a different level of rigour - and cost - than an internal tool automating a reporting task. This is also where engagement model matters as much as scope. A fixed day-rate contractor and an embedded senior squad can quote similar headline rates and produce very different total costs, because the squad ships working software faster and needs less rework. Cheaper per day isn't the same as cheaper per outcome. h2. How we scope it We don't lead with a rate card because it would be dishonest to pretend one number covers a Launchpad workshop, a proof of concept, and a full AI Product Squad build equally well. Instead, we scope from wherever you are: a workshop if you're still working out where AI creates value, a proof of concept if you have a specific use case and need to validate it before committing budget, or an embedded squad if you've already done that work and are ready to build and ship. If you want a straight answer on what your specific project would cost, that's a conversation, not a quiz on our pricing page - get in touch and we'll scope it properly, starting with whichever stage actually fits where you are. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### How to choose an AI consultancy | &above Source: https://www.andabove.com/feed/how-to-choose-an-ai-consultancy Description: A practical framework for choosing an AI consultancy: big firm, specialist squad, or in-house - and the questions that reveal which one fits. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. How to choose an AI consultancy `AI` *20 Jul 2026* ![Abstract particle artwork](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) Choose an AI consultancy by matching the partner to the job, not the brand to the logo slide: a large firm for multi-country governance programmes, an embedded specialist squad when you need working AI products shipped fast, and in-house hiring only once you know exactly what you're building. Here's how to tell which one you actually need. h2. What are your options? When teams start looking for AI help, they usually discover the market splits into three very different shapes: - Large consultancies (the Big-4 and global systems integrators) - deep benches, strong governance and compliance practices, and the scale to run multi-year transformation programmes across many countries. - Specialist AI consultancies and product studios - smaller, senior teams that embed with yours and are measured on shipped software rather than delivered recommendations. - Building in-house - hiring your own AI engineers and product people, and owning the capability end to end. None of these is universally right. The expensive mistake is picking by familiarity - defaulting to the biggest name, or to a hiring plan - before being honest about what the work in front of you actually is. h2. When does a large consultancy make sense? If your programme is fundamentally about risk, compliance, and coordination at scale - rolling out AI policy across forty markets, satisfying regulators, integrating with a landscape of legacy vendors - a large firm's machinery is built for exactly that. You're buying assurance and reach as much as engineering. The trade-off is speed and distance from the work. Strategy and delivery are often separate teams, the senior people who won the deal aren't the people doing the work, and it can take months before anything runs in production. If your goal is a working AI product rather than a governed programme, that model works against you. h2. When does building in-house make sense? In-house is the right long-term answer once AI is core to your product and you know what you're building. Your own team compounds knowledge, owns the roadmap, and carries no agency margin. It's the wrong first move, though, for most teams. Hiring senior AI engineers is slow and competitive, and - as we've argued before - [hiring an AI engineer isn't an AI strategy](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md): without a validated use case, new hires spend their first year discovering what a discovery phase would have told you in weeks. A common pattern is to use a specialist partner to find and prove the value, then hire in-house around a system that already works - or to skip the binary altogether with an [embedded team that works inside yours](https://www.andabove.com/feed/ai-agency-vs-in-house-build-buy-or-embed.md) and hands over the capability as it ships. h2. When does an embedded specialist squad make sense? If the goal is a working product - an automation running in production, an agent connected to your real tools and data, software your customers or team actually use - a small senior squad embedded with your team is usually the fastest honest route. The people you meet are the people who build; strategy and delivery are the same team; and progress is measured in shipped software, not documents. This is the model we run at &above, so treat this section with the scepticism you'd apply to any vendor describing their own category - but the evidence is checkable: an AI creative studio that took Tesco's retail-ad approvals from four weeks to days, an agent system supporting 5,000 Google Cloud sellers, and an AI-powered property app for Upstix shipped in seven days. Scale-ups and enterprises both, delivered by the same small teams. You can see the full model on our [AI consultancy & product development services](https://www.andabove.com/services.md) page. h2. What questions should you ask before signing? - Who exactly will do the work? Ask to meet the actual team, not the pitch team - and ask what percentage of their time you get. - What have you shipped? Working software with named clients beats frameworks and accelerators. Ask for something you can use or watch being used. - What's the smallest first engagement you offer? Good partners derisk with a scoped workshop or proof of concept before proposing a big build; be wary of anyone whose first proposal is a multi-year programme. - How do you decide what not to build? An honest consultancy should be able to describe AI projects they've talked clients out of. - What happens when you leave? Ask how knowledge, code, and infrastructure transfer to your team - the answer reveals whether they're building your capability or their dependency. h2. How do you keep the first engagement low-risk? Whatever partner you choose, don't start with the big build. Start with the smallest step that produces evidence: a short discovery workshop to find where AI genuinely creates value, then a proof of concept against real use cases before committing serious budget. That sequencing - rather than the day rate - is what actually controls cost, as we've written about in [how much AI product development costs](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md). If you're weighing this decision now and want a specialist's view - including an honest answer on whether you need a consultancy at all - [get in touch](https://www.andabove.com/contact.md) and we'll tell you what we'd do in your position. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Onboarding a mind | &above Source: https://www.andabove.com/feed/onboarding-memory-capture-learnings Description: How structured Q&A and open-ended prompts affect AI memory recall - and why hybrid onboarding creates more reliable avatar experiences. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Onboarding a mind `AI` *21 Jan 2026* ![Onboarding a mind](https://www.andabove.com/content-media/feed/onboarding-memory-capture-learnings/hero.gen.jpg) h2. Onboarding memory capture Learnings Every conversation you’ve ever had depends on memory you didn’t consciously supply. For example, when we meet someone new, we don’t hand them a file called “me.” Our identity emerges gradually, from fragments of memory, shared context, assessment and what we choose to reveal over time. Our brains are machines for assembling a person from incomplete data. Memory isn’t storage, it’s reconstructive flow - a working model from context, habit and partial truths. Capturing the essence of this in an app is daunting; but we’re working with a partner to do this right now, building the system into a personalised avatar companion. One part of onboarding is capturing “memory”: the background knowledge you collect upfront that becomes the avatar’s identity, plus what the user shares in conversation. Our focus is practical UX: how to ask for that information in a way that people will actually finish, and will happily repeat when they want to create more avatars. It sounds simple until you try to make it reliable. Because capturing data and capturing data that the LLM can reliably retrieve later are two different problems. You can collect a lot of information and still end up with an avatar that answers inconsistently, or only answers correctly when the user asks in the exact same phrasing that you stored. This is where design and engineering ended up meeting in the middle. UX wanted an onboarding flow that feels like a conversation, not a form. Engineering had two needs: prove the format holds up under recall testing, and make sure the format doesn’t paint us into a corner structurally. Q&A is straightforward: you naturally get searchable key/value pairs. Open-ended prompts are messier: they’re better at capturing “glue” but they force an early decision about data structures, raw text vs extracted fields vs summaries because you can’t rely on simple lookup semantics. The goal was to pick a path that preserves flexibility, not one that only works because we contorted the memory system around it. So we built a quick evaluation suite to pressure-test one UX decision: should we gather these “memories” through lots of discrete Q&A pairs, or through fewer open-ended prompts that encourage richer answers? h2. The two pathways we tested We tested two onboarding formats for capturing the same underlying “memory” set. h2. Structured Q&A This is the form-like approach: you ask a narrow question and store a narrow answer. It naturally produces a clean key/value representation, which is attractive from an implementation standpoint. Example: - “What is your name?” → “Han Solo” - “What ship do you fly?” → “The Millennium Falcon” - “Who is your co-pilot?” → “Chewbacca” h2. Open-ended prompts Here we ask a small number of broader prompts designed to pull multiple facts in a single response, plus the context around them. The output is less obviously structured, but it captures the “glue” that tends to show up in real conversations: relationships, sequencing, motivations. Example: - “Tell me about your ship and partner” → “I fly the Millennium Falcon, a modified Corellian YT-1300 I won from Lando in a sabacc game. My co-pilot is Chewbacca, a Wookiee from Kashyyyk. We’ve been running jobs together for years…” UX-wise, the difference is immediate: thirty questions feels like work; five prompts feels like a conversation. Engineering-wise, the trade-off is also immediate: Q&A gives you searchable fields by default, while open-ended responses force you to decide how (or whether) to extract structure. Our working assumption going in was that open-ended prompts would outperform on questions that require synthesis, because the connective tissue is present in the stored text. The concern was whether that would come at the cost of worse direct recall because some onboarding facts still need to come back perfectly. h2. Why we used Gemini From earlier work with Google, we’d seen Gemini perform extremely well on retrieval from large contexts, situations where you push in a big dataset and it can still return very specific pieces of information. So for this experiment we built the suite around google/gemini-3-flash. We also used Vercel’s AI Gateway and a standard AI SDK setup so swapping models later would be straightforward. Temperature wasn’t fixed across runs; this suite was designed for directional signal rather than strict reproducibility. ![Inline Image 1](https://www.andabove.com/_nuxt/inline_1.DJJCZVd7.svg) h2. The evaluation setup We kept the setup deliberately straightforward because the goal wasn’t academic benchmarking; it was a product decision. We created two “memory bases” that contained the same information, just formatted differently. Naturally we used Han Solo as a test persona because it’s easy to define a stable set of facts and then ask questions that target them. Variant A was 30 discrete fact pairs in Q&A format. Things like name, ship, co-pilot, origin, who hired him, what happened at Alderaan, what Leia said, and so on. Variant B took those same 30 facts and embedded them into five open-ended prompts. Each prompt was sculpted to elicit a chunk of coherent narrative, ship and partner, background and joining the Rebellion, relationships with Luke and Leia, dangerous experiences, and personal change. The answers were longer, but there were far fewer prompts. For memory injection, we took the simplest route: we placed the variant content directly into the system instructions. This isn’t a production memory architecture, but it’s a fast way to test a core question: given the model has access to this information, how reliably does it retrieve it under questioning? Then we tested two types of recall. The first type was direct recall: the simple “lookup” questions. If the user asks “What is your name?”, does the model answer correctly? The second type was inferential recall, which is the more realistic conversational case, especially for our use case. These are questions where the model has to connect multiple facts or use the narrative context to answer correctly. A direct Q&A store might contain the pieces, but the question expects the model to join them into a coherent explanation. This is the gap you hit in real products when a user doesn’t ask in the exact structure you stored. To score answers, we used an LLM-as-judge approach. The judge prompt was intentionally plain: you’re an impartial judge, compare the expected answer to the actual answer, and decide whether the meaning matches. The scoring scale was 0–3, with paraphrasing allowed because we cared about semantic correctness, not whether the model copied the exact same wording. A 3 meant the meaning was correct, a 0 meant contradiction or fabrication. Across all evaluations we used the same harness: 28 questions total (15 direct, 13 inferential). Each evaluation ran 3 runs per variant, so 3 runs × 2 variants = 6 model runs per file. That produces 84 question–answer pairs per variant (28 × 3), which we score and then average per run. All 11 result files used google/gemini-3-flash. h2. What happened Variant A (structured Q&A) consistently delivered perfect direct lookup. In the most recent run, Variant A scored 2.18/3 overall, with 3.00/3 on direct recall and 1.23/3 on inferential. This pattern repeats across files: direct recall stays perfect, but inferential questions drop sharply when the model has to connect facts stored as isolated pairs. Variant B (open-ended narrative) flips that behaviour. In the same most recent run, Variant B scored 2.77/3 overall, with 2.73/3 on direct recall and 2.82/3 on inferential. Across all files, inferential recall stays high (~2.77–2.90, avg ~2.84), while direct recall is slightly lower (~2.67–2.80, avg ~2.73). The implication is a real trade-off: narratives make the model much better at synthesis, but they can introduce small precision loss on single-fact lookups. Q&A is the reverse: great at exact retrieval, weak at connecting dots. ![Inline Image 2](https://www.andabove.com/content-media/feed/onboarding-memory-capture-learnings/inline_2.gen.jpg) h2. Why this matters for UX, not just evaluation scores For this partner's use case, users are not going to interact with the avatar like it's a database. They won’t always ask “Who hired you to go to Alderaan?” They’ll ask “Why did you take that job?” or “How did you end up in the Rebellion?” or “What happened before you met Leia?” They ask sideways, and they expect the avatar to connect context. If memories are stored as isolated atoms, the model tends to answer direct questions cleanly, but it struggles when the user asks sideways and expects reasoning across multiple facts. If memories are stored as narrative, inferential answers become far more reliable but single-fact lookups can lose a bit of exactness because the fact isn’t represented as an explicit key/value field. And from a UX standpoint, there’s the practical reality: even thirty questions isn’t huge, but it feels heavy in onboarding. Five open-ended prompts feels more like a conversation and less like work, even if the total volume written is similar, and it also matched how users will be using our platform in the end. h2. Bias and limitations worth calling out This evaluation is intentionally pragmatic, and there are real limitations. Temperature wasn’t fixed, which means sampling variance is in the mix. That can inflate or reduce performance in ways that aren’t purely attributable to memory format, especially on inferential questions. There’s also a craftsmanship bias: good open-ended prompts effectively “teach” the relationships between facts. That’s the point, but it also means prompt quality is a major variable. It’s difficult to define a general rule for how many Q&A pairs one open-ended prompt can safely cover without becoming too long or too easy to miss details. Narratives are not a free win: even with good prompts, we saw a consistent small drop in direct recall under the narrative format, which reinforces the case for keeping precision-critical facts as explicit fields. The memory injection method is simplified too. Injecting the memory base into system instructions is not the same as a production memory architecture where you might summarise, store, retrieve via similarity search, and re-inject context dynamically. This test answers “format vs recall under available context”, not “format vs recall under real retrieval constraints”. Finally, LLM-as-judge scoring is a practical tool, not a perfect one. It’s good enough to spot meaningful differences, but it can be inconsistent at boundaries. h2. What this changed for us The experiment gave us a clear signal: Q&A is best for precision, while open-ended narrative is best for synthesis. The open-ended format meaningfully increased inferential recall, but it wasn’t perfect on direct recall exactly the kind of small drop that matters when you need deterministic “profile” facts. So our direction is a hybrid onboarding flow. We start with a short set of direct Q&A questions for the highest-signal, precision-critical fields (the keys we’ll search and rely on later). Then we follow with one crafted open-ended prompt to capture richer context. The “glue” that improves inferential answering and makes the avatar feel coherent in real conversation. This avoids shoehorning the memory system into a single representation. We get stable keys where we need them, and narrative context where it pays off, without making onboarding feel like a 30-question form. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. 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Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Most organisations have an innovation problem, not an AI problem | &above Source: https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem Description: Why the organisations creating value with AI are the ones with cultures that already know how to experiment, challenge assumptions and connect innovation to outcomes. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Most organisations don't have an AI problem, they have an innovation problem `AI` *1 Aug 2026* ![Two colleagues reviewing work together on a laptop in the &above studio](https://www.andabove.com/content-media/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem/hero.gen.jpg) It's difficult to attend a leadership meeting today without hearing the same question - "What are we doing about AI?" That pressure is understandable. Organisations are seeing competitors launch AI-powered products, teams are experimenting with new tools, Boards are asking questions and customers are developing expectations. The instinctive response is often to focus on the technology itself: Which platform should we adopt? Which model should we use? Where can we automate? But after working with organisations navigating significant technology shifts such as this, I've come to believe that AI is rarely the real challenge. More often than not, the challenge is innovation. The organisations thriving with the addition of AI aren't necessarily the ones with the most advanced technology, but they are the ones with cultures that already know how to adapt. They know how to experiment, challenge assumptions and test ideas quickly and learn from failure. Most importantly, they know how to connect innovation to measurable outcomes. This distinction matters. Adopting AI is relatively easy but creating value with AI is considerably harder. Many organisations are currently generating a large number of experiments, prototypes and proofs of concept. Which on the surface looks like progress. But activity and impact are not the same thing. Innovation without strategic purpose creates noise, but too much control stifles experiment. The organisations creating genuine advantage understand how to balance both. They give people permission to explore new possibilities while maintaining a clear connection to business objectives. They encourage curiosity, but they also demand evidence. And they remain open to change without becoming distracted by every new development. This isn't unique to AI. We've seen the same pattern with mobile technology, cloud computing and digital transformation more broadly. The technology changes, but the organisational challenge remains remarkably consistent: Can we identify opportunities quickly? Test assumptions efficiently? Learn faster than our competitors? And pick the best bets to build out from experiment to full product. Those questions matter far more than any individual tool. The most important investment organisations can make today isn't necessarily in AI platforms, it's in building the capabilities required to make sense of change. That means developing innovation muscle, creating environments where experimentation is encouraged and equipping teams with the skills, confidence and support required to explore new opportunities responsibly. It also means recognising that technology alone has never been a sustainable competitive advantage. The organisations that thrive over the next decade won't be defined by how quickly they adopted AI, they'll be defined by how effectively they learned to adapt. Because in the end, AI isn't a technology challenge, it's an innovation one. h2. Next up - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [The fastest way to waste money on AI](https://www.andabove.com/feed/the-fastest-way-to-waste-money-on-ai.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. 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Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Why use React Native for your mobile app? | &above Source: https://www.andabove.com/feed/react-native-for-your-mobile-app Description: Why React Native is a strong choice for mobile app development - one codebase for iOS and Android without compromising experience. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Why use React Native for your mobile app? `Engineering` *11 Jun 2024* ![Why use React Native for your mobile app?](https://www.andabove.com/content-media/feed/react-native-for-your-mobile-app/hero.gen.jpg) In the world of mobile app development, choosing the right framework is a critical decision. React Native emerged in 2015 as a game-changer, offering a cross-platform solution that combines efficiency and performance. At &above we understand the importance of leveraging the right tools for successful mobile app development. ![Simplestream - a mobile friendly product](https://www.andabove.com/content-media/feed/react-native-for-your-mobile-app/inline_1.gen.jpg) h2. What is mobile application development? Why React Native is a strong choice for mobile app development - one codebase for iOS and Android without compromising experience. We download these applications through mobile app stores or directly from mobile internet browsers. They're built to cater to the convenience of users having the bets access to their phones. In the realm of mobile app development, popular programming languages like Javascript for Android and Swift for iOS are common. These languages serve as the foundation for writing code that runs seamlessly on various mobile devices, ensuring optimal performance and user experience across multiple platforms. Businesses are leveraging mobile apps to meet customer needs in real-time and provide easily accessible services. This evolution in technology has transformed how users engage with information, services, and products, making mobile application development a crucial aspect of modern software development. If you're considering this as something that could help excel your business, you're at the right place. h2. Who can use React Native to create mobile apps? So with that being said - who can build a mobile application using React Native? From seasoned developers to those who are new to mobile app development, React Native provides a platform that can be harnessed by individuals with varying levels of experience. In this section, we'll explore the user base of React Native, shedding light on the expertise needed to make the most of this powerful framework. React Native caters to a broad audience, making it accessible for developers across different experience levels. Seasoned developers with expertise in Javascript can harness React Native's full potential, capitalising on their understanding of the first language in the chain. Additionally, individuals new to mobile app development should find React Native relatively user-friendly due to its great documentation over the many years it’s been live. However, efficient React Native, React, or even Javascript development takes many years to fully navigate. Development isn’t as simple as just learning how to use a language and its frameworks. To create successful products, you need to know how to utilise React Native’s or any other frameworks capabilities in a strategic manner. To excel as a mobile app developer within this framework, you certainly need to acquire additional expertise, ensuring an ability to craft solutions with intricate functionalities and innovative UX/UI that will align with the preferences of your target audience on the platform. With an agency, this is a given. The scoping opportunities and ability to scale mobile platforms are endless. An expert will be able to flag any issues from experience of other common scenarios, continuously analysing and optimising their work. That’s why we’d always recommend working with a creative agency to help your team define and understand what they want from the product they intend to build. This includes understanding the deployment processes for both Android and iOS platforms, recognising the differences in compiling code for Android and iOS, and gaining proficiency in using native modules, for example, accessing the phone camera. ![Bespoke code development for tech client Google Cloud](https://www.andabove.com/content-media/feed/react-native-for-your-mobile-app/inline_2.gen.jpg) With our expertise and in depth knowledge of the Javascript framework we have managed projects for industry giants like Google Cloud, Dunnhumby, and Outperform. As well as harnessing the power of React Native for mobile applications to supersede user engagement and performance. For example... h2. React Native’s mobile application limitations... As a creative agency that has extensive knowledge across multiple programming languages, it’s critical for us to understand in what instances to apply a particular framework. It should always start with a brief - followed by taking the time to understand your company and business goals. So despite React Native’s great features and learning-curve, lets discuss when we would choose not to use it. React Native does come with its limitations due to it being a layer that sits on top of a native language -Javascript. Instead of directly developing in React, React Native adds a layer on top, making everything more opinionated. Opinionated in this context meaning - you lack the full freedom and flexibility due to its structure being aligned by the native language. This makes accessing native features harder as the developer must rely on React Native modules. Therefore, even with extensive knowledge, it can limit a developer's creative autonomy to add features. So in this instance, unless the client needs to host via both iOS and Android, we would likely recommend a different framework - Java for purely Android and Swift for iOS. React native is perfect for that dual application, but for more advanced or specific features you need to go with native solutions. h2. Develop for both Android and iOS: native apps or hybrid apps? So, is it necessary to develop applications for both Android and iOS? Choosing between hybrid (hybrid meaning React Native that allows deployment of an app across both Android and iOS) and native applications involves considering the specific needs and goals of a project. Native apps, designed specifically for each individual platform offer high efficiency by leveraging platform-specific APIs. This is particularly advantageous for business applications, especially those requiring significant traffic through APIs. If the aim is to develop native apps for a single project, starting with Android is recommended, as independent apps often see more focus on this platform. Especially when you consider the cost of launching an iOS application. On the other hand, hybrid apps like React Native that run on multiple platforms with shared code, provide a cost-effective solution for projects with limited resources or where cross-platform consistency is a priority. Our in-house development team at &above might recommend this when developing a completely new project. But ultimately the decision hinges on factors such as project requirements, available resources, and the desired user experience. h2. How to find React Native developers? You can find React Native developers the same way you would find React developers. Some developers specialise in multiple languages. Our team at &above work with many languages like React, Vue.js, Cordano, Swift and Flutter - and can help your business choose the correct language for your specific use case. Just drop us a note here. h2. Summarising the mobile app developer Choosing React Native for your mobile app development can be a strategic move, combining efficiency, cross-platform capabilities, and a robust developer community. At &above, we specialise in navigating the dynamic landscape of mobile app development, providing tailored solutions for your brand's success. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### &above vs Deloitte for enterprise AI in London | &above Source: https://www.andabove.com/feed/start-2026-right-above-vs-deloitte-for-london-based-enterprise-ai-projects Description: &above vs Deloitte: choosing the right AI partner in London - fast 90-day product builds or governance-led transformation. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. &above vs Deloitte for London enterprise AI projects `AI` *27 Feb 2026* ![&above vs Deloitte for London enterprise AI projects](https://www.andabove.com/content-media/feed/start-2026-right-above-vs-deloitte-for-london-based-enterprise-ai-projects/hero.gen.jpg) &above beats Deloitte for London AI based Enterprise AI Projects, delivering custom products in 90 days versus slow governance phases. Deloitte excels in global compliance for multinationals, while &above's startup speed and Google-trusted expertise suit rapid builds and behavioural design boosts adoption by 200%. Choose &above for agile ROI in London's £50 billion AI market. Struggling to choose between &above's agile enterprise AI and Deloitte's global scale for your 2026 AI transformation? With the wrong partner, you risk months of delays in a city where AI drives £50 billion in economic growth by 2026. This head-to-head reveals key differences in expertise, speed, pricing, and local results to position your business for success. As we move into 2026, the pressure to adopt artificial intelligence has shifted from "experimental" to "operational." For London-based enterprises and scale-ups, the question isn't whether to use AI, but who can help you build it effectively. You generally have two distinct paths: the massive global reach of a firm like Deloitte, or the agile, product-focused speed of a specialist studio like &above. Choosing the right partner depends entirely on your goals. Are you looking for a massive governance framework across forty countries, or do you need a custom AI product designed, built, and embedded into your workflow in 90 days? This guide compares these two very different approaches to help you decide what fits your business this year. h2. What is AI Consulting and Why London in 2026? London remains a global hub for technology, but the requirements for AI consulting have changed. It is no longer just about strategy decks; it is about shipping working software that solves actual business problems and builds a culture of change. In 2026, effective AI consulting combines technical engineering, product design, training and organisational change. The market is split between traditional consultancies that focus on risk management and scale, and modern product studios that focus on speed and user adoption. Understanding this distinction is critical before signing a contract. h2. &above: Enterprise AI at Startup Speed &above operates in the space between a consultancy, a product studio, and a behavioural design firm. The core philosophy here is "startup speed, enterprise scale." Instead of spending months on theoretical roadmaps, the focus is on getting tangible AI solutions into the hands of users quickly. This approach works best for companies that need to move from "wow" to "how." By combining strategic depth with product rigour, &above helps organisations avoid the "pilot purgatory" where AI projects often stall. The goal is to build systems that learn and adapt, using behavioural design to ensure your team actually uses the tools. h2. Core Services from Discovery to Embed The service model is broken down into three clear stages designed to deliver outcomes, not just advice: - Discover: This includes the AI Launchpad, a 90-day programme to identifying opportunities, running workshops, and building proof of concepts. - Build: Engineering scalable, agnostic solutions. This covers everything from data architecture to user interface (UI) design. - Embed: This is where the long-term value happens. &above plugs experts directly into your teams to shape culture and train staff. h2. Standout Clients and Case Studies The firm has built a reputation for handling high-stakes work for major technology players. Most notably, Google has trusted &above for over seven years across 20+ teams to build custom AI solutions. This relationship highlights a key strength: the ability to work with sophisticated, tech-native clients who demand high standards. Whether it is transforming customer experiences or optimising internal operations, the focus remains on delivering "output at pace" that stands up to enterprise scrutiny. h2. Deloitte: Scaling AI Across Enterprises Deloitte represents the traditional heavyweight approach to consulting. With a massive global footprint, they are the go-to option for multinational corporations that need to roll out standardised AI programmes across complex regulatory environments. Their strength lies in their ability to handle massive scale and mitigate risk. For organisations where compliance is the primary concern, Deloitte offers a safe pair of hands. They provide end-to-end services that encompass everything from tax implications of AI to technical implementation, backed by a workforce of 460,000 employees (GrowExx). h2. AI Strategy, Insights and Engineering Offerings Deloitte’s offering is vast, covering the entire spectrum of business operations. Their services typically include: - Strategic consulting: High-level roadmaps for C-suite executives. - Governance alignment: Ensuring AI systems meet global regulatory standards. - Enterprise integration: Connecting AI into legacy ERP and CRM systems. - Design: Creating interfaces for customer-facing applications. h2. Proven Impact Through Global Case Studies Deloitte’s case studies reflect their focus on large-scale industrial and consumer applications. Notable examples include: - American Honda Motor Company: Implementing AI solutions for automotive operations. - Starbucks: Leveraging data for customer personalisation at a global scale. - Accessibili-D: Developing autonomous systems with a focus on accessibility. These projects demonstrate their capacity to manage multi-year, multi-stakeholder engagements that touch every part of a massive organisation. h2. Key Differences in Approach and Delivery The fundamental difference between these two firms is how they view "delivery." For Deloitte, delivery often means a comprehensive transformation programme involving extensive change management and governance phases. It is thorough, but it can be slow. For &above, delivery means shipping a working product and onboarding model. The approach is "sleeves up, hands in." They prioritise User Experience (UX) because behavioural design can increase adoption rates by up to 200%. If you need a team that plugs in fast and works like your own, the studio model is superior. h2. How AI Consulting Engagements Work Understanding the day-to-day reality of an engagement helps manage expectations. The rhythm of work differs significantly depending on whether you choose a boutique studio or a "Big Four" consultancy. h2. Typical Process with &above Engagements often start with the AI Launchpad. This is a structured 90-day sprint designed to get you from zero to a working proof of concept. - Days 1-30: Discovery workshops and use case identification. - Days 31-60: Co-creation and rapid prototyping. - Days 61-90: Testing, refining, and preparing a roadmap for full build. It is intense, collaborative, and focused on tangible output. h2. Typical Process with Deloitte A typical engagement here follows a more formal, linear progression. It usually begins with a lengthy assessment phase involving stakeholder interviews across the business. - Phase 1: Strategy and governance assessment (often 3-6 months). - Phase 2: Vendor selection and system design. - Phase 3: Phased implementation and change management. This process is designed to minimise risk but requires significant patience and budget. h2. Head-to-Head: Expertise, Speed and Results When you compare them directly, it comes down to what you value most: innovation speed or risk mitigation. In the fast-moving London market, waiting twelve months for an AI deployment can mean falling behind competitors. h2. Specialisation and Innovation Edge &above specialises in "agentic AI" and custom product builds. They focus on creating agents that have persistent memory and learn from feedback. Deloitte, conversely, focuses on the broader ecosystem. As noted by industry observers, "Deloitte assists organizations in adopting agentic AI through strategic consulting, design, and governance alignment, integrating intelligent systems with control" (WebClues Infotech). Their edge is breadth; &above’s edge is depth in product design and product thinking. h2. Pricing Models and ROI Potential &above typically operates on a project or retainer basis. You pay for a specific outcome or a dedicated team squad. This often leads to a clearer ROI because the investment is tied to a shipped product. Deloitte generally works on large-scale retainer models or time-and-materials contracts. While they offer robust resources, the overheads are higher. For a mid-sized project, you might spend significantly more on project management and administration with a large firm than on actual engineering. h2. Client Outcomes in London’s Tech Scene For London companies, local relevance matters. &above is deeply embedded in the product culture of the city, understanding the talent market and the specific pressures of UK tech hubs. They build solutions that help teams work smarter, not just harder. Deloitte offers stability. If your outcome is to satisfy a board of directors that you have chosen the "safest" option, their brand carries weight. However, if the outcome is to disrupt your market, a smaller, faster partner often yields better results. h2. Best Practices for Choosing Your London AI Partner Selecting a partner is a high-stakes decision. The wrong choice can lead to wasted budget and "vapourware" - projects that never really launch. h2. Align on Business Goals and Scale Be honest about your needs. - If you need to overhaul the audit compliance for a FTSE 100 company, choose Deloitte. - If you need to build a customer-facing AI tool to increase revenue in the next quarter, choose &above. Do not hire a cruise ship when you need a speedboat. h2. Vet Track Records and Cultural Fit Look at who will actually be doing the work. - Ask for names: Will you get senior partners or junior associates? - Check the vibe: &above promotes a "sleeves up" culture. They work with you, not just for you. - Review past work: Look for tangible products, not just slide decks. h2. Negotiate for Embedded Teams and Agility The most successful AI projects happen when consultants sit with your team. - Request embedded squads: Designers and engineers who join your daily stand-ups. - Demand knowledge transfer: Ensure your team learns how to maintain the AI after the consultants leave. - Focus on iteration: Avoid rigid "waterfall" contracts that don't allow for changes as the AI learns. h2. Common Mistakes in AI Consulting Selection The biggest mistake companies make is ignoring their data reality. David Hillier, Chief Strategy Officer at &above, notes that "fragmented and siloed information will undermine the performance of any AI system." - Mistake 1: Buying AI before fixing data. You cannot plug AI into a mess and expect magic, but you can work with data gaps if you choose correct AI methodologies. - Mistake 2: Over-governance. spending a year on compliance before testing if the idea even works. - Mistake 3: Ignoring culture. If your team doesn't trust the AI, they won't use it. - Mistake 4: treating AI as IT. It is a product challenge, not just a technical installation. h2. Position Your Business for AI Success in 2026 with &above 2026 is the year to stop planning and start building. While large consultancies like Deloitte offer safety and scale, &above offers the agility and product expertise required to actually ship value. If you are ready to move from strategy to software, and you want a partner that builds with the rigour of Google but the speed of a startup, &above is the logical choice for your London business. Focus on solving real problems, fixing your data, and designing for human behaviour - that is how you win this year. h2. Frequently Asked Questions h2. How long does it take to see results from &above compared to Deloitte? &above delivers working proofs of concept in 90 days via AI Launchpad sprints. Deloitte typically requires 6-12 months for initial strategy and governance phases before deployment. h2. What qualifications do &above and Deloitte consultants have for AI work? &above teams feature ex-Google employees with product and behavioural design expertise. Deloitte employs 460,000 staff, including PhD-level AI specialists focused on compliance and enterprise integration. h2. What do &above and Deloitte specialise in? &above excels in combining enterprise scale with startup speed. We don't just deliver &disappear; we work side-by-side to ship products fast. Deloitte specialises in scalable governance for agentic AI, integrating with ERP/CRM systems across regulated industries. h2. Check out our related articles - Artificial Intelligence - &above: Pioneering AI Strategy, Research and Transformation for the Digital Era - &above - Discover, build &embed enterprise AI at speed - Google &above - Building AI That Delivers Business Value — Founder Q&A h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### The AI payoff: start with the problems you avoid | &above Source: https://www.andabove.com/feed/the-ai-payoff-starts-with-the-problems-youve-been-avoiding Description: AI investments fail without the right foundation. Learn how to build organisational, technological, and strategic readiness for measurable AI impact. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. The AI payoff starts with the problems you’ve been avoiding `AI` *4 Nov 2025* ![The AI payoff starts with the problems you’ve been avoiding](https://www.andabove.com/content-media/feed/the-ai-payoff-starts-with-the-problems-youve-been-avoiding/hero.gen.jpg) AI promises to transform business operations, accelerating decisions, driving innovation, and unlocking new efficiencies. Yet many organisations invest heavily, only to see limited impact. The problem isn’t the technology, but the structure needed to leverage it. Stop Treating AI like a Plug-In Many companies approach AI like planting a high-performance engine in an old car. The technology is powerful, but if the foundation (culture, processes, and data) isn’t ready, it sputters. Successful adoption is more like remodeling a house while living in it: every change must be coordinated, or the operation falters. It might also get very messy! Fragmented pilots, isolated tools, and disconnected experiments often create the illusion of progress without delivering value, so the solution has to get into the heart of the problem, while being realistic about the need for the changing structural framework around it. Organisational Readiness: Where to start? AI transformation begins with people and structure. Leadership must define the “future state” and rethink how teams, roles and governance will work together. Technology is an enabler; structure and culture are the foundation Practical Steps: - Uniform education and tools: Moving out of a singular mindset with Generative AI, into a holistic approach with Agentic AI requires a wholesale embedded educational approach. Done successfully, it engenders a culture of positive change, allaying fears and empowering business units on a personal and team level. - Enable Change: Reassess formal and informal reporting lines, governance, and team interactions. Flexible structures allow quicker adaptation, while rigid hierarchies hinder it. - Integrate Across Dimensions: Align processes, structures, skills, behaviours, and technology to avoid fragmented efforts. - Overcome Resistance: Clear roles and responsibilities reduce fear and ambiguity, encouraging employees to adopt AI rather than resist it. - Foster Innovation: Borrow inspiration from sectors like automotive manufacturing, where rapid prototyping and iterative improvement are part of the culture. A culture of future-thinking, experimentation and open communication helps teams leverage AI effectively. Technological Readiness: Data and Tools AI cannot function without high-quality data and the right technology stack. Poor, siloed, or fragmented data undermines even the most advanced systems, while misaligned tools create wasted effort and false optimism. Technology is the engine of AI, but without fuel (data) and proper engineering (tools and architecture), it won’t move the business forward. Practical Steps: - Start Small, Improve Iteratively: Begin with focused, small-scale pilots that target specific business problems. Use these initiatives to incrementally clean, standardise, and enrich data, building a strong foundation for larger deployments. - Choose Tools that Deliver Real Value: Avoid “technological vanity projects” that look impressive but don’t address actual business challenges. Select AI platforms, analytics tools, and automation systems that align with clear objectives. - Design for Scalability: Ensure that any pilot or tool can grow across teams, functions, or geographies. Consider architecture, data pipelines, and integration capabilities to support expansion without disruption. - Invest time and money in Data Governance: Define ownership, access rules, and quality standards to prevent fragmented or siloed information from derailing projects. Critically, this also ensures compliance and reduces risk. - Balance Innovation with Reliability: While experimenting with generative or predictive AI, maintain robust infrastructure, monitoring, and validation. Systems should be flexible enough to innovate but reliable enough to generate actionable insights. - Embed Continuous Feedback Loops: Implement mechanisms to track data quality, model performance, and outcomes. Insights from these loops allow teams to refine both data and tools over time, creating a self-improving ecosystem. - Foster Cross-Functional Collaboration: Technical teams, data engineers, and business units must work together. AI tools are only as effective as the alignment between those who build them and those who use them. Strategic Readiness: Define Value AI can deliver remarkable outcomes, but only when guided by clear strategic intent. Technology without purpose is like a compass spinning without direction. It moves, but not toward meaningful impact. Strategic readiness ensures that AI initiatives are aligned to measurable business outcomes, generate tangible value, and support long-term objectives. Practical Steps: - Identify High-Impact Problems: Focus on areas where AI can solve pressing business challenges or unlock significant value. Look for bottlenecks, repetitive tasks, or decision points where better insights can improve performance. - Define Clear Metrics: Establish measurable KPIs such as productivity gains, efficiency improvements, revenue growth, waste-reduction, cost reduction, or customer satisfaction. Metrics should be meaningful, trackable, and tied directly to strategic objectives. - Start with Pilots: Test solutions in controlled, high-priority areas. Use these pilots to validate assumptions, measure outcomes, and refine approaches before committing to enterprise-wide implementation. - Align AI Initiatives to Corporate Goals: Ensure that every project contributes to the broader business strategy. Avoid implementing technology for its own sake, as misaligned initiatives waste resources and dilute focus. - Plan for Scaling: Once pilots demonstrate measurable value, develop a roadmap for expansion across teams, regions, or functions. Include training, change management, and process integration to ensure sustainable adoption. - Embed Continuous Review: AI projects evolve over time. Periodically revisit strategy, metrics, and outcomes to ensure alignment with shifting market conditions, business priorities and organisational goals. - Communicate Value Across the Organisation: Share successes, lessons learned, and tangible results with stakeholders. Clear communication builds confidence, supports adoption, and encourages a perpetual culture of data-driven decision-making. AI is not a silver bullet. it’s a compass guiding you toward a more intelligent, adaptive, and resilient enterprise. Start small, scale smart: Begin with targeted use cases, integrate technology with people and processes, then scale what delivers measurable outcomes. Organisations that balance ambition with structure turn AI from a set of mini-gambles into a controlled catalyst for growth. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### The fastest way to waste money on AI | &above Source: https://www.andabove.com/feed/the-fastest-way-to-waste-money-on-ai Description: Most organisations start with the technology, not the problem. AI is a capability, not a strategy - the best projects begin with friction. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. The fastest way to waste money on AI `AI` *2 Jul 2026* ![The fastest way to waste money on AI](https://www.andabove.com/content-media/feed/the-fastest-way-to-waste-money-on-ai/hero.gen.jpg) Over the last 18 months, we've seen organisations rush to adopt AI in much the same way they rushed to adopt cloud, mobile apps, and digital transformation before it. The pattern is remarkably consistent - a new model is released, a competitor announces an AI initiative, an executive sees a compelling demo online. Suddenly, teams are under pressure to ‘do something with AI.’ The problem is that most organisations start with the technology rather than the business problem they're trying to solve. Companies become fascinated by models, agents, automation, and the latest capabilities. They start discussing which AI tools to use before they've defined what success actually looks like. That's usually where value starts to disappear. h2. AI is not the strategy One of the biggest misconceptions in the market right now is treating AI adoption as a strategy in itself. It isn't. AI is simply a capability. Nobody ever said, ‘Our strategy is databases’ or ‘Our strategy is APIs.’ They were tools used to achieve business outcomes - AI should be viewed in exactly the same way. Yet many AI initiatives begin with questions like: How can we use AI? Where can we deploy agents? Which model should we choose? What can we automate? They're reasonable questions, but they're being asked in the wrong order. The first question should always be: What's preventing us from growing, operating efficiently, or serving customers better? Only once you've identified the constraint should you determine whether AI is the right solution. h2. Start with friction, not features The highest-performing AI projects we've worked on all started with a very clear business problem. A sales team spending too much time on administrative work, a customer service function overwhelmed by repetitive enquiries, a marketing team struggling to scale content production, an operations team buried in manual workflows. The common thread isn't AI, but friction. When teams identify genuine operational bottlenecks first, it becomes much easier to determine where AI can create measurable impact. That's important because AI projects consume real resources. Beyond model costs, organisations are investing engineering time, product resource, implementation effort, governance, testing, maintenance and change management. If you're making those investments, the outcome should be significant enough to justify them. h2. The agent gold rush We're currently seeing a huge wave of enthusiasm around AI agents and some of that excitement is justified. Agentic systems will undoubtedly become a major part of how organisations operate over the coming years. But there's also a growing tendency to build agents simply because agents are the fashionable thing to build. An agent that automates a process nobody cares about is still a bad investment, an agent that saves five minutes per week isn't transformative, an agent that introduces complexity without improving outcomes is simply another piece of software to maintain. The most successful organisations aren't asking where they can deploy agents but instead where human expertise is being constrained by inefficient systems, fragmented information, or repetitive work. That's a very different conversation. h2. Measure outcomes, not activity One of the challenges with AI is that it creates an illusion of progress - it's easy to count prompts, automations, agents, workflows, and deployments, it's much harder to measure whether any of those things have materially improved the business. The organisations generating the greatest return from AI are typically focused on a different set of metrics: Revenue growth, time saved, operational efficiency, customer satisfaction, employee productivity and cost reduction. Those metrics force clarity. They ensure AI remains tied to business value rather than becoming a technology experiment searching for a justification. h2. The organisations that will thrive As AI becomes increasingly accessible, the technology itself becomes less of a differentiator. Every company will have access to powerful models, every company will be able to build agents, every company will be able to automate workflows. The advantage won't come from having AI, it will come from understanding where to apply it. The organisations that win won't necessarily be the ones building the most. They'll be the ones that understand their business deeply enough to identify the highest-value problems and are disciplined enough to focus their efforts there. Because the fastest way to waste money on AI is to start with the technology. The fastest way to create value is to start with the constraint. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### The future of digital product development | &above Source: https://www.andabove.com/feed/the-future-of-digital-product-development Description: How digital product development is changing - emerging technology, UX advances, and the strategies that will shape competitive products. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. The future of digital product development `Product` *27 Feb 2025* ![The future of digital product development](https://www.andabove.com/content-media/feed/the-future-of-digital-product-development/hero.gen.jpg) How digital product development is changing - emerging technology, UX advances, and the strategies that will shape competitive products. ![Designing Upstix's promotional offers](https://www.andabove.com/content-media/feed/the-future-of-digital-product-development/inline_1.gen.jpg) h2. 1. The rise of AI and automation in product development h3. AI-driven User Experience (UX) Artificial Intelligence (AI) is revolutionising UX design by making digital products more personalised and adaptive. AI-powered tools analyse user behaviour, preferences, and interactions, allowing products to deliver tailored experiences in real-time. For example, AI can: - Optimise user interfaces dynamically based on usage patterns. - Predict user needs and provide relevant recommendations. - Enhance chatbots and virtual assistants for more human-like interactions. h3. Automating development with no-code & low-code platforms Traditional software development is time-consuming and costly, but no-code and low-code platforms are democratising product creation. These tools enable businesses to: - Rapidly prototype and launch products without extensive coding knowledge. - Reduce dependency on large development teams. - Accelerate go-to-market timelines while maintaining product flexibility. With &above’s expertise, start-ups can leverage these automation technologies to build high-quality products faster and at lower costs. h2. 2. Human-centred design: the future of UX/UI h3. Accessibility and inclusivity as a standard As digital experiences become more integrated into daily life, ensuring that products are accessible to all users is paramount. Future UX/UI design will focus on: - Inclusive typography, colour schemes, and navigation to accommodate users with disabilities. - Voice interfaces and gesture controls for enhanced accessibility. - AI-powered accessibility enhancements that adjust interfaces dynamically based on user needs. h3. Hyper-personalisation in UX The future of UX is about delivering experiences unique to each user. Through data analytics and AI, &above helps businesses create interfaces that: - Adapt based on user habits and preferences. - Offer real-time customisation of layouts, themes, and content. - Improve engagement by reducing friction and anticipating user actions. ![Human-centred designs for Upstix's mobile app](https://www.andabove.com/content-media/feed/the-future-of-digital-product-development/inline_2.gen.jpg) h2. 3. Agile development and continuous innovation h3. From MVPs to continuous iteration Building a Minimum Viable Product (MVP) is no longer enough for long-term success. While an MVP helps companies launch quickly with a core set of features, today’s fast-moving digital landscape demands continuous innovation and iterative improvements. Businesses that fail to evolve risk losing relevance, as user expectations and market demands shift rapidly. To stay competitive, digital products must go beyond the MVP stage and incorporate ongoing development strategies that ensure they remain valuable, efficient, and user-friendly. This means adopting agile methodologies, leveraging real-time data, and maintaining a customer-centric approach. h3. Rapid development cycles for quick market adaptation Speed is a key factor in digital product success. Companies must implement rapid development cycles that allow them to quickly adjust to market trends and user demands. This involves: - Agile development practices: using sprint-based workflows to continuously build, test, and refine product features. - Cross-functional collaboration: ensuring product teams, developers, designers, and marketers work closely together to deliver timely updates. - Early market entry: releasing functional versions of the product sooner to gain traction and real-world insights. By adopting this approach, companies can reduce time-to-market, prevent stagnation, and stay ahead. h3. DevOps and CI/CD for faster deployment Agile methodologies combined with DevOps and CI/CD (Continuous Integration & Continuous Deployment) practices are streamlining digital product development. Future-ready agencies like &above use these techniques to: - Automate testing and deployment for faster, more stable releases. - Reduce development bottlenecks through seamless collaboration between designers and developers. - Enable real-time updates without disrupting user experience. h2. 4. The role of emerging technologies h3. The metaverse & extended reality (XR) With advancements in Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), digital product development is entering a new era of immersive experiences. Businesses can integrate: - AR-enhanced shopping for e-commerce. - VR-powered training simulations for education and enterprise applications. - Metaverse-based social and business interactions, redefining digital engagement. h3. Blockchain and decentralised applications (dApps) Blockchain technology is reshaping trust and security in digital products. Future developments will see: - Decentralised apps (dApps) offer greater transparency and data security. - Smart contracts automate business processes without intermediaries. - Tokenisation models enabling new revenue streams. ![&above using data to update and optimise Upstix's UI](https://www.andabove.com/content-media/feed/the-future-of-digital-product-development/inline_3.gen.webp) h2. 5. Data-driven decision making h3. AI-powered analytics for product optimisation Digital products will increasingly rely on data-driven insights to enhance user experience and business strategies. Advanced analytics tools will: - Provide real-time user insights to refine product features. - Predict customer behaviour and trends for proactive decision-making. - Automate A/B testing for improved product-market fit. h3. Ethical data usage and privacy-first design With increasing concerns about data privacy and regulations like GDPR, businesses must prioritise: - Transparent data collection policies. - Privacy-first UX/UI designs with built-in consent options. - Stronger encryption and cybersecurity measures. h2. 6. Sustainable digital product development h3. Eco-friendly development practices Sustainability is no longer an afterthought—it’s a key factor in digital product design. Companies are focusing on: - Energy-efficient coding to reduce server loads and carbon footprints. - Sustainable hosting solutions, such as green cloud computing. - Minimalist UI/UX design that reduces unnecessary digital consumption. &above is at the forefront of incorporating sustainability into digital product strategies, helping brands make a positive environmental impact. h2. Conclusion: the future is innovation-driven The future of digital product development is defined by AI-driven personalisation, human-centred design, emerging technologies, and sustainable innovation. Businesses must embrace continuous evolution and data-driven strategies to remain competitive. As a leading digital product agency, &above, it helps start-ups and established businesses navigate these trends, build future-ready products, and scale successfully. Are you ready to future-proof your digital product? Let’s innovate together with &above. ![Upstix's easy to navigate user interface](https://www.andabove.com/content-media/feed/the-future-of-digital-product-development/inline_4.gen.jpg) h2. Q&A: the future of digital product development h3. Q1: How will AI impact the future of digital product development? AI will play a crucial role in automating design, personalising user experiences, and optimising performance. It will enable businesses to predict user behaviour, improve chatbots, automate coding, and create dynamic UX/UI elements that adapt in real-time. &above is already integrating AI-driven strategies to enhance digital product efficiency and engagement. h3. Q2: What is the importance of accessibility in UX/UI design? Accessibility ensures that digital products can be used by everyone, including individuals with disabilities. The future of UX will focus on: - AI-powered accessibility features that adjust interfaces based on user needs. - Inclusive colour palettes and typography to improve readability. - Voice and gesture-based navigation for users with mobility impairments. h3. Q3: How do no-code and low-code platforms change product development? No-code and low-code tools allow businesses to rapidly prototype and launch products with minimal technical expertise. These platforms: - Reduce development time and costs. - Empower non-technical founders to build functional products. - Enable faster iterations and real-time updates. &above helps businesses determine whether no-code solutions or full-scale development is best suited for their product goals. h3. Q4: Will blockchain technology influence digital product development? Yes, blockchain is already transforming security, trust, and decentralisation in digital products. Future developments will include: - Decentralised apps (dApps) that enhance transparency. - Smart contracts to automate transactions securely. - Tokenised business models that create new revenue streams. h3. Q5: What role will the Metaverse play in future digital products? The Metaverse is reshaping social interaction, commerce, and immersive experiences. Businesses are exploring: - Virtual storefronts and AR-enhanced shopping. - VR-based training and remote collaboration tools. - Digital experiences that blend real and virtual worlds. &above is closely monitoring Metaverse developments to help businesses leverage XR (Extended Reality) for their digital strategies. h3. Q6: What is the significance of ethical data usage in future product development? With growing concerns about privacy and data security, businesses must adopt: - Transparent data collection and user consent policies. - Privacy-first UX designs that give users control over their data. - Stronger encryption and cybersecurity measures to protect user information. h3. Q7: How does sustainability factor into digital product development? Sustainability is becoming a key focus for digital product agencies like &above. Future practices include: - Energy-efficient coding to reduce power consumption. - Sustainable hosting solutions that use renewable energy. - Minimalist UX/UI design that reduces unnecessary digital waste. h3. Q8: How can start-ups prepare for future digital product trends? Start-ups should: - Stay updated on emerging technologies like AI, blockchain, and the Metaverse. - Adopt agile and data-driven development methodologies. - Invest in accessibility and sustainability for long-term success. &above helps businesses future-proof their products by integrating cutting-edge design, technology, and strategy into their digital roadmaps. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### How to Choose an AI Agent Development Company | &above Source: https://www.andabove.com/feed/how-to-choose-an-ai-agent-development-company Description: The questions that separate an AI agent development company that can demo an agent from one that can put it into production and keep it running. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. How to choose an AI agent development company `AI` *17 Aug 2026* ![How to choose an AI agent development company](https://www.andabove.com/content-media/press/press-particle-4.gen.webp) Choose an AI agent development company on evidence of production systems, not demo quality. The questions that matter are who owns the integration work, what happens when the agent gets something wrong, whether the architecture is tied to one model provider, and what your own team can maintain once the engagement ends. Almost every credible supplier can show you a working agent in a controlled demo. Far fewer can point to one that has been running inside a client's business for a year. h2. Why the demo tells you almost nothing An agent demo is a best case: a clean prompt, a cooperative dataset, a path the person presenting has walked a hundred times. The work that decides whether an agent survives contact with a real business happens after that: connecting to systems that were not designed to be called by software, handling the requests that fall outside the happy path, deciding what the agent is allowed to do without a human confirming it, and monitoring it closely enough to notice when its behaviour drifts. None of that is visible in a demo, so the demo cannot be the basis of the decision. Ask instead what the supplier's last three agents do today, who uses them, and how often they need intervention. h2. Does the company own the integration, or hand it back? The most common failure in agent projects is not the model. It is the boundary between the agent and everything else: the CRM, the approval workflow, the internal data source with an undocumented schema. Suppliers who scope only the agent and treat integration as the client's responsibility are describing a handover, and handovers are where these projects stall. The question to ask directly is whether the people designing the agent will also be writing the integration code against your systems, with access to your environment. That is the model we work in. The agent system supporting [5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) was built by a squad working inside Google's own environment rather than specifying an agent for someone else to wire up, which is why it reached production in 90 days. At Tesco, the same approach took [creative approval cycles from four weeks to days](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) - the automation was straightforward, and the reason it landed was that the team building it had access to the workflow it was replacing. h2. What happens when the agent is wrong? Every agent that does useful work will eventually do the wrong thing. A supplier who has run agents in production will have a considered answer about guardrails: which actions require human confirmation, how errors surface to someone who can act on them, what gets logged, and how you would roll back a bad decision. A supplier who has only built prototypes will usually answer this in terms of model accuracy, which is the wrong frame - the question is not how often the agent is right, but what the business is exposed to on the occasions it is not. This is also where enterprise and scale-up requirements genuinely differ. A scale-up may be comfortable letting an agent act and reviewing outcomes weekly. An enterprise with regulatory exposure usually needs approval gates and an audit trail from day one. Both are reasonable; a supplier who offers only one of them is selling you their default rather than your requirement. h2. Is the architecture tied to one model provider? Model capability and pricing have moved substantially every few months for the last several years, and there is no reason to expect that to stop. An agent architecture built so that the underlying model can be swapped without rewriting the system protects you from that churn. One built around a single provider's proprietary framework does not. This matters more than it seems at the point of purchase, because the cost of the lock-in only becomes visible later, when a better or cheaper model exists and you cannot reach it. Worth checking explicitly: does the supplier resell or implement a platform they have a commercial relationship with? There is nothing wrong with that, but it changes the advice you are getting. We do not sell a platform, so the architecture we recommend is not optimised to keep you on one. That is the same reasoning set out in [our AI agent development services](https://www.andabove.com/services/ai-agent-development.md). h2. What does your team have at the end? An agent that only its builders understand is a dependency, not a capability. The useful test is what your own engineers can do six months after the engagement: extend the agent to a new workflow, debug it when an upstream system changes, retire it cleanly. Suppliers who work embedded in your team tend to leave you with more of this than suppliers who deliver from their own environment, simply because your people were present while the decisions were made. If the engagement model matters more to you than the specific agent, [forward-deployed engineers](https://www.andabove.com/services/forward-deployed-engineers.md) covers that tier in more detail. h2. A shortlist of questions worth asking Ask what their last three agents do in production today, and who uses them. Ask who writes the integration code and whether they will have access to your environment. Ask what the agent is allowed to do without a human confirming it, and how you would find out if it did something wrong. Ask whether the architecture survives changing the underlying model. Ask what your team will be able to maintain without them. The answers to those five questions will separate the field faster than any capability deck. If you are earlier than this and still deciding whether you need an agent specialist at all, [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md) covers the wider decision, and [AI agency vs in-house: build, buy or embed](https://www.andabove.com/feed/ai-agency-vs-in-house-build-buy-or-embed.md) covers whether to use a supplier in the first place. h2. Frequently asked questions h3. What does an AI agent development company do? It designs, builds and integrates software agents that carry out tasks inside a business: retrieving information, calling other systems, and taking actions within defined limits. The work spans agent design, integration with existing systems, and the guardrails and monitoring that let an agent operate without constant supervision. Building the agent is usually the smaller half; connecting it to real systems and making it safe to run is the larger one. h3. How long does it take to get an AI agent into production? It depends far more on the state of the systems the agent connects to than on the agent itself. Where the data and integration points are accessible, a scoped agent can reach production in weeks. Where access has to be negotiated or built first, that work dominates the timeline. As a reference point, the agent system we built for Google reached production in 90 days, working inside their environment throughout. h3. What should an AI agent development company be able to show me? Agents running in production for real users, not demo environments. Ask who uses them, what they are allowed to do unsupervised, how often they need intervention, and what happens when they get something wrong. A supplier who can only show controlled demos has not yet solved the problems that decide whether an agent survives in a business. h3. Should I choose a specialist agent company or a general AI consultancy? If you already know the workflow you want automated, a team that has shipped comparable agents will usually get there faster. If the harder question is which problems are worth solving with agents at all, you need product and strategy capability in the room as well, which is closer to a full product squad than a build team. Many organisations need the second first and the first afterwards. h3. Do AI agent development companies work with scale-ups as well as enterprises? Many do, though the requirements differ. Scale-ups typically optimise for speed and are comfortable with lighter oversight; enterprises usually need approval gates, audit trails and integration with existing governance from the start. Suppliers who work with both tend to be explicit about which model they are proposing and why, rather than applying one default to every client. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### The race to become your single interface | &above Source: https://www.andabove.com/feed/the-race-to-become-your-single-interface Description: Software is consolidating into a single agent layer. As tools become infrastructure, value shifts to data, memory, and context - design for agents too. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. The race to become your single interface `AI` *17 Jun 2026* ![The race to become your single interface](https://www.andabove.com/content-media/feed/the-race-to-become-your-single-interface/hero.gen.jpg) For the past decade, software has evolved in one clear direction: more tools, more platforms, more specialisation. Every function inside a business has been given its own system. CRM for sales. Project tools for delivery. Docs for collaboration. Analytics dashboards for reporting. The result is a fragmented ecosystem where work is distributed across dozens, sometimes hundreds, of interfaces. And for a long time, that model worked. But it doesn’t scale anymore. We’re now hitting a tipping point where the problem isn’t lack of capability, it’s too much fragmentation - Too many tabs, too many logins, too much context switching. Too much time spent navigating systems instead of actually doing meaningful work. What’s emerging to solve this isn’t another tool. It’s a new layer. h2. The shift to the personal agent Right now, there’s a quiet but significant shift happening across the industry. Companies aren’t just competing on features anymore. They’re competing to become the interface of choice, the single place you start your work. Major platforms are all moving in this direction. The goal is simple - be the environment where users operate and connect to everything else behind the scenes. In this model, the tools themselves don’t disappear. CRM systems, internal platforms, databases, they still exist. But they become infrastructure, not destinations. The interface becomes the control layer. And increasingly, that interface is an agent. h2. From 100 tabs to 1 agent The traditional way of working looks like this: You open your laptop.You check your emails.You log into your CRM.You open your documents.You jump between tools all day. The future looks very different. You interact with a single agent, your personal interface, that connects to all of those systems for you. Instead of navigating tools, you give intent - “Pull together pipeline performance from last quarter”, “Draft a proposal based on this client conversation”, “Summarise the key risks across current projects”...The agent handles the rest. This isn’t just a UX improvement, it fundamentally changes how work happens. h2. Why knowledge becomes the moat The real power in this new model isn’t just connectivity, its memory. The more you use a single interface, the more it learns how you think, how you communicate, what your priorities are and how your business operates. Over time, that creates stickiness. Not because you’re locked in technically, but because switching becomes costly. You’d have to rebuild that context somewhere else. We’ve seen this dynamic before with advertising platforms and social ecosystems. What starts as convenience evolves into dependency. And that’s why the companies that win this layer will be the ones that build the deepest understanding of users, maintain that context over time and make it difficult to replicate elsewhere. h2. What this means for businesses Most organisations are still optimising for the old model. They’re investing in better dashboards, better workflows and better tooling inside individual platforms. But if the interface layer sits above all of that, those optimisations become less important. Because the question shifts from “How good is our tool?” to “How well does our data integrate into the interface layer?” For example a CRM’s value becomes its data integrity and enrichment, not its UI, internal systems become valuable based on how easily they can be accessed and used by agents and competitive advantage moves towards what you know, not just what you build. Designing for humans is no longer enough There’s another implication that most companies haven’t fully grasped yet. We’re no longer designing systems just for humans. Agents are now interacting with products browsing websites, extracting information and completing tasks. Which means design needs to evolve from UX (user experience) to something broader - what we might call AX: agent experience. If your systems don’t work for agents, they won’t work in the environments people are moving towards. h2. The real shift This isn’t about incremental improvement, it’s a structural change. We’re moving from multiple tools to one interface. From interfaces to data layers. From users to users and agents. And the organisations that understand this early will design for it. The rest will continue optimising systems that are no longer where the real work happens. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Top 5 SaaS development agencies in London | &above Source: https://www.andabove.com/feed/top-5-saas-development-agencies-in-london Description: The top five SaaS development agencies in London, known for cutting-edge solutions, innovative design, and technical depth. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Top 5 SaaS development agencies in London `Engineering` `Product` *28 Mar 2025* ![Top 5 SaaS development agencies in London](https://www.andabove.com/content-media/feed/top-5-saas-development-agencies-in-london/hero.gen.webp) A SaaS development agency plays a crucial role in helping companies design, build, and scale software applications, ensuring that they remain competitive in a fast-evolving digital landscape. Whether you’re an early-stage startup looking to develop a Minimum Viable Product (MVP) or an enterprise undergoing digital transformation, choosing the right SaaS development agency can make a significant difference. The top five SaaS development agencies in London, known for cutting-edge solutions, innovative design, and technical depth. ![Leading SaaS development agency &above](https://www.andabove.com/content-media/feed/top-5-saas-development-agencies-in-london/inline_1.gen.webp) London has become one of the world’s leading technology and innovation hubs, hosting some of the most advanced SaaS (Software as a Service) development agencies. Businesses across industries are increasingly adopting cloud-based software solutions to improve efficiency, scalability, and customer engagement. However, developing a successful SaaS product requires expertise in software architecture, UI/UX design, security, AI integration, and cloud infrastructure management. h2. 1. &above (www.andabove.com) h2. Overview &above is a premium SaaS development agency that focuses on building custom software solutions tailored to business needs. Known for their agile development approach, they deliver scalable, secure, and user-friendly SaaS applications that drive business growth. The agency stands out for its end-to-end software development expertise, integrating AI, automation, and cloud computing into their projects. They have successfully developed SaaS solutions for clients in various industries, including finance, healthcare, and e-commerce. By focusing on UX/UI design, cloud infrastructure, and data-driven analytics, &above ensures that SaaS applications are not only technically robust but also provide a seamless user experience. Their team works closely with businesses to optimise workflows, increase conversions, and enhance customer engagement. h2. Key services h2. Custom SaaS development - Full-cycle SaaS product development, from idea validation to market launch. - Microservices architecture for high-performance and scalable applications. - AI-powered features to automate workflows and enhance efficiency. h2. Product design & UX/UI - Data-driven user experience (UX) optimisation to improve retention rates. - Prototyping and wireframing for intuitive, visually engaging applications. h2. Cloud infrastructure & DevOps - Continuous Integration & Deployment (CI/CD) for fast and seamless software updates. h2. Why Choose &above? - Strong expertise in SaaS development and cloud computing. - Focus on agile methodologies for faster time-to-market. - Proven track record in building high-performance digital products. ![Top software development agency, RCCO](https://www.andabove.com/content-media/feed/top-5-saas-development-agencies-in-london/inline_2.gen.jpg) h2. 2. RCCO (www.rcco.uk) h2. Overview RCCO is a London-based digital agency that specialises in SaaS product development, UI/UX design, and brand strategy. They are known for their design-led approach, helping startups and enterprises create visually appealing, user-friendly SaaS applications. Their expertise lies in merging software development with strategic branding, ensuring that each SaaS product has a unique identity and market presence. They have worked with several leading brands to deliver scalable, cloud-based applications that drive business success. h2. Key Services h2. SaaS development & engineering - Agile software development for fast iterations and scalability. - Cloud-based applications with real-time analytics and automation. h2. UX/UI & Brand Identity - User experience research to enhance engagement and retention. - Custom branding and digital identity development for SaaS platforms. h2. Why Choose RCCO? - Strong design and branding capabilities for SaaS applications. - Proven track record in growth-driven SaaS development. - Expertise in high-performance cloud-based applications. ![Deloitte Digital agency](https://www.andabove.com/content-media/feed/top-5-saas-development-agencies-in-london/inline_3.gen.webp) h2. 3. Deloitte Digital (www.deloittedigital.com) h2. Overview Deloitte Digital is an enterprise-grade SaaS development agency that focuses on large-scale software solutions and digital transformation. As part of Deloitte, one of the world’s leading consulting firms, they provide robust, secure, and scalable SaaS products for global businesses. Their expertise spans cybersecurity, AI integration, and enterprise cloud solutions, making them an ideal partner for businesses in finance, healthcare, and government sectors. h2. Why choose Deloitte Digital? - Trusted by multinational corporations and government institutions. - Deep expertise in data security and compliance. - Advanced AI-powered business intelligence tools. ![vmware software agency](https://www.andabove.com/content-media/feed/top-5-saas-development-agencies-in-london/inline_4.gen.webp) h2. 4. Pivotal (VMware Tanzu) (www.tanzu.vmware.com) h2. Overview Pivotal, now part of VMware Tanzu, is an industry leader in cloud-native SaaS development. They specialise in microservices, Kubernetes-based architectures, and enterprise cloud solutions. Their platform helps companies modernise legacy applications and transition to scalable, cloud-based software. h2. Why Choose Pivotal? - Experts in cloud-native development and AI-driven automation. - Strong focus on performance, scalability, and security. - Leaders in microservices architecture. ![Software agency, thoughtworks](https://www.andabove.com/content-media/feed/top-5-saas-development-agencies-in-london/inline_5.gen.webp) h2. 5. ThoughtWorks (www.thoughtworks.com) h2. Overview ThoughtWorks is a global software consultancy that helps businesses develop custom SaaS platforms and digital transformation solutions. They work with enterprises to build scalable, AI-driven software applications. Their development team follows a lean, agile methodology, ensuring rapid innovation and continuous improvements. h2. Why Choose ThoughtWorks? - Strong focus on AI-powered SaaS applications. - Data-driven SaaS development and analytics. - Experts in scalable, cloud-based solutions. h2. Q&A Section h2. Q1: What is SaaS development? SaaS development refers to the process of building cloud-based software applications that users can access via the internet. Unlike traditional software that needs to be installed, SaaS applications are hosted on remote servers and offer flexibility, scalability, and automatic updates. h2. Q2: What are the benefits of hiring a SaaS development agency? - Expertise in software architecture & cloud computing. - Faster time-to-market with agile development. - Enhanced security & compliance for data protection. - Ongoing support & updates to ensure software longevity. h2. Q3: What industries can benefit from SaaS applications? SaaS applications are widely used across various industries, including: - Finance (banking software, digital wallets) - Healthcare (telemedicine platforms, patient management software) - Retail & E-commerce (inventory management, CRM) - Education (e-learning platforms, LMS software) - Marketing & Sales (automation tools, data analytics platforms) h2. Q4: How long does it take to develop a SaaS product? Development timelines vary based on complexity, features, and integrations: - MVP development: 1-3 months - Full-scale SaaS product: 3-6 months h2. Q5: How much does SaaS development cost? Costs depend on the scope and complexity of the project: - Basic SaaS application: £50,000 - £100,000 - Enterprise-level SaaS: £200,000+ By working with London’s best SaaS agencies, businesses can build scalable, secure, and high-performing cloud applications. Building a SaaS product today usually means building an AI product too. See how &above works as a [digital product agency](https://www.andabove.com/services/digital-product-agency.md) taking platforms from idea to production, or as an [AI agency](https://www.andabove.com/services/ai-agency.md) for automation, agent development and AI software builds. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Top AI Development Companies in the UK (2026) | &above Source: https://www.andabove.com/feed/top-ai-development-companies-in-the-uk-2026 Description: A ranked 2026 guide to the top AI development companies in the UK building custom AI software - engagement types, selection criteria, costs, and FAQs. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Top AI Development Companies in the UK (2026) `AI` *29 May 2026* ![Top AI development companies in the UK 2026](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) Plenty of UK companies will write AI code for you. Far fewer will build custom AI software that actually reaches production and gets used. That gap - not a shortage of talent - is why so many AI projects commissioned by UK businesses never produce measurable value: the wrong brief pulls in the wrong engagement, and an impressive demo collapses the first time it meets real data. The UK, and London in particular, has one of the densest concentrations of AI engineering talent in Europe, so the firms are not hard to find. What is hard is knowing which kind of build you actually need and which companies deliver production-grade AI rather than proofs of concept. This guide ranks the top AI development companies in the UK for 2026 and gives you the framework to judge any of them. h2. The three things businesses commission under 'AI development' Before approaching any AI development company, it helps to know which of three fundamentally different engagements your brief represents, because confusing them is the most expensive mistake in AI procurement. The first is custom model development: training a machine-learning model on your proprietary data to solve a prediction, classification, or generation problem that pre-trained models cannot handle well. It is the most technically demanding and expensive category, and it needs labelled data, training infrastructure, and a team that can run the full ML lifecycle. The second is LLM integration and fine-tuning: adapting an existing model such as Claude or GPT to your use case through prompt engineering, retrieval-augmented generation, or fine-tuning. This is where most 'generative AI' briefs actually land in 2026 - faster and cheaper than custom training, and commercially useful without the data volumes custom models demand. The third is AI automation and integration: embedding existing AI capabilities into your workflows, data pipelines, and software, which is usually the most immediately measurable of the three. The single most useful question to ask any firm is: based on our brief, which of these three does our project fall into? A company that defaults to custom model development regardless of the brief is selling what it is good at rather than what you need; one that helps you identify the right category before scoping is thinking about your commercial outcome. Getting this right routinely saves six figures. h2. How we ranked the top AI development companies We weighted production delivery over demo quality, because an AI system can be accurate on clean test data and useless in production. So we looked for a track record of live systems with named clients; for genuine MLOps capability - model versioning, retraining pipelines, monitoring for drift, and the infrastructure that keeps a model working after the project ends; for product thinking alongside the engineering, since adoption rather than accuracy is where most builds fail; for awareness of the UK regulatory context, from ICO guidance on automated decisions to FCA model-risk expectations in financial services; and for a clean handover of code, infrastructure, and know-how. The best signal in any evaluation is a firm's answer to a single question: what happens to your AI system after the project ends? h2. Top AI development companies in the UK for 2026 h3. 1. &above - custom AI products, built and embedded &above is an [AI development and product agency](https://www.andabove.com/services/ai-agency.md) that builds custom AI software, agentic products, and AI operating systems for scale-ups and enterprises - problem-first, design-led, and delivered by senior squads embedded in your team. Its three stages, Discover, Build, and Scale, take a use case from validated bet to production system rather than to a demo, and its work spans all three engagement types above: automation, LLM integration, and custom builds. The recent work makes the point. &above delivered an agent system supporting [5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md), concept-to-deployment in 90 days at 84% lower cost; took [Tesco's retail media from weeks to live in days](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md); shipped an [AI property app for Upstix in seven days](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md); and built [creative-intelligence software for Sage](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md). It is best for organisations that want custom AI software designed and built to reach production and stay there. It is our own studio, and the work is public, so judge it directly - or [get in touch](https://www.andabove.com/contact.md). h3. 2. Faculty AI [Faculty AI](https://faculty.ai/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) is a UK AI specialist with deep machine-learning and decision-intelligence engineering, strong in government, defence, and regulated sectors, and a reputation for prioritising deployment over novelty. It is the right call for advanced ML and custom AI systems where research depth leads. h3. 3. Scott Logic [Scott Logic](https://www.scottlogic.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) is an engineering-led firm building bespoke AI applications where governance, explainability, and security matter, across finance, government, and healthcare. It suits regulated, high-assurance AI software with documentation to match. h3. 4. Softwire [Softwire](https://www.softwire.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) is a long-established UK software engineering firm building bespoke AI applications across media, healthcare, and government, with a reputation for engineering quality and maintainability. It is a good fit for custom AI software delivered as part of a broader bespoke-software programme. h3. 5. Made Tech [Made Tech](https://www.madetech.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) focuses on the public sector, building and deploying AI products for government and regulated organisations within UK procurement frameworks. It is the natural choice for public-sector AI development and framework-based procurement. h3. 6. BJSS [BJSS](https://www.bjss.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) is a large UK technology firm that pairs AI development with cloud, data, and enterprise integration for FTSE 100 and public-sector clients. It suits large-scale enterprise AI builds that need serious integration muscle. h3. 7. Griffiths Waite [Griffiths Waite](https://www.griffiths-waite.co.uk/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) builds custom AI products from discovery to production for insurers and critical infrastructure, positioned between boutique studios and large integrators. It is best for enterprises pushing past proof-of-concept into deployment. h3. 8. Quantexa [Quantexa](https://www.quantexa.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) is a London-headquartered decision-intelligence company whose contextual AI connects billions of disparate records into entity networks for fraud detection, financial-crime investigation, and risk. It is a genuinely differentiated option where connecting siloed data to surface non-obvious patterns is the core AI use case, particularly in financial services. h3. 9. Humanloop [Humanloop](https://humanloop.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-development-companies-in-the-uk-2026) is a London platform and development partner focused on the infrastructure around large language models - prompt evaluation, fine-tuning, and the monitoring that keeps LLM-powered applications reliable after launch. It suits product teams building AI features that must perform in production at scale. h2. Production versus demo: the distinction that decides success The most reliable signal in AI development is not portfolio polish, team credentials, or technology stack - it is whether a firm ships production systems or compelling proofs of concept. A proof of concept shows that an approach can work under controlled conditions with clean data. A production system performs reliably at scale, handles messy real-world data, degrades gracefully when input quality drops, integrates with existing systems, is monitored for drift, and can be updated without re-engineering from scratch. The gap between the two is where most AI projects fail. Ask any shortlisted firm to walk you through the most recent AI system they deployed - the live one, not the demo - and how it copes with data-quality issues, ten-times-higher volumes than the training set, and model drift over time. Ask specifically about MLOps: versioning, automated retraining, and the monitoring that keeps a model performing after the team leaves. The UK regulatory context is part of this, not a footnote. The UK runs a principles-led, sector-specific approach rather than a single horizontal framework, so relevant obligations come through existing regulators - the ICO on AI and personal data, the FCA on model risk in financial services, the MHRA on medical AI. A development company that can describe how its process addresses lawful basis for automated decisions, transparency, data minimisation, and the right to human review has built for UK-regulated deployment before. One that treats compliance as a legal review after the build has not. h2. How much does custom AI development cost in the UK? Costs track the engagement type. A discovery or consulting phase - strongly recommended before committing to any build - typically runs in the low-to-mid tens of thousands and routinely pays for itself by pointing the build at the right problem. An LLM integration or RAG system commonly lands in the tens of thousands, less than custom training and enough for most generative-AI briefs. AI automation and workflow integration varies with the number of systems it touches, from the low tens of thousands to six figures for complex, multi-system work. A production machine-learning system with full MLOps runs from six figures upward. Senior London AI day rates typically sit in the four figures, with cloud infrastructure and data labelling billed separately. The most common cause of overruns is the gap between expected and actual training-data quality, so budget data preparation as its own line item. We break the economics down further in [how much AI product development costs](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md). h2. How to choose an AI development company Match the firm to the maturity of your problem. If you already know exactly what to build and just need engineering hands, a specialist or a large firm works well. If you need someone to find the value, design the product, ship it, and then leave your team able to run it, an embedded product studio is the better fit. Whichever route you take, screen for production evidence, MLOps capability, and a clear ownership handover, and start with a scoped proof of concept rather than the full build. Our buyer's guide, [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md), covers the questions that separate partners from vendors - and it is worth remembering that [hiring an AI engineer isn't an AI strategy](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) if you are weighing a build team against your first internal hire. h2. Frequently asked questions h3. Who are the top AI development companies in the UK? Embedded product studios such as &above; specialist AI firms such as Faculty AI, Scott Logic, and Quantexa; bespoke-software firms such as Softwire and Made Tech; large integrators such as BJSS and Griffiths Waite; and LLM-infrastructure specialists such as Humanloop. The best fit depends on whether you need a product shipped, deep ML, contextual data intelligence, or enterprise integration. h3. Which UK companies build custom AI software for businesses? &above builds custom AI software, agents, and AI operating systems for scale-ups and enterprises with embedded senior teams; Faculty AI, Scott Logic, Softwire, and BJSS also build bespoke AI applications, each with different sector strengths; Quantexa specialises in contextual data intelligence for financial services. h3. How much does AI development cost in the UK in 2026? A discovery phase typically runs in the low-to-mid tens of thousands; an LLM integration or RAG project in the tens of thousands; AI automation from the low tens of thousands to six figures; and a full production ML system with MLOps from six figures upward. London AI day rates commonly sit in the four figures, with infrastructure and data labelling billed separately. h3. What's the difference between an AI development company and an AI product agency? An AI development company builds software to a defined spec. An AI product agency also runs discovery and product design to define the right thing to build and to drive adoption, and typically owns the path from prototype to production. &above works as the latter, which is why more of its builds reach and stay in production. h3. How long does it take to build and deploy an AI system? A well-scoped AI automation or LLM integration typically takes weeks to a few months from discovery to production; a moderately complex custom ML system with data pipelines and MLOps takes three to six months; and enterprise programmes with multiple use cases and governance can take six to eighteen months. Data quality is the most common reason timelines slip. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Top AI Product Agencies for Enterprises 2026 (UK) | &above Source: https://www.andabove.com/feed/top-ai-product-agencies-for-enterprises-2026 Description: A ranked 2026 guide to the top AI product agencies building enterprise AI in the UK - who builds agentic products, how to choose, and what it costs. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Top AI Product Agencies for Enterprises (2026) `AI` *17 Jul 2026* ![Top AI product agencies for enterprises 2026](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) If you want to build AI products for an enterprise - not another slide deck, but an agentic product or AI operating system running in production - the agency you pick matters more than the model you pick. The UK has one of the deepest enterprise AI markets in the world, with London at its centre: the country that produced DeepMind and the Alan Turing Institute now hosts everything from global consultancies to specialist AI studios, and almost all of them will tell you they build enterprise AI. Far fewer actually ship it. This guide ranks the top AI product agencies for enterprises in 2026, explains the criteria we used so you can judge any firm against them, and covers what a build should cost and which questions separate a production partner from a demo shop. The most expensive mistake in enterprise AI is not choosing the wrong model or the wrong cloud. It is briefing the wrong type of partner: commissioning a build before the strategy exists, or hiring a strategy house when what you needed was working software. So before the rankings, it is worth being precise about what an AI product agency actually is. h2. What is an AI product agency - and what it isn't Buyers routinely conflate three different categories, and the differences decide whether your investment reaches production. An AI consultancy advises on strategy, governance, and operating models; it is strong on assurance and executive alignment, and lighter on shipped software. An AI development company builds custom AI software to a specification; it is strong on engineering, but often without the discovery and product design that decide whether anyone actually uses what gets built. An AI product agency does both at once - it runs discovery to find the bet worth making, designs and builds the product, and embeds the capability in your organisation - and, crucially, it is measured on what reaches production rather than on recommendations delivered. That third category is what most enterprises mean when they search for a UK agency to build AI products: custom AI agents, enterprise AI applications, AI-native platforms, and the operating model to run them. It sits between two failure modes. Traditional consultancies move slowly by design - discovery phases stretch for months, deliverables arrive as decks rather than systems, and knowledge stays with the consulting team instead of transferring to yours. Pure technology vendors move fast but shallow - they ship tools rather than transformation, and adoption stalls because nobody designed for the people who have to use the thing every day. The best AI product agencies live between those extremes: enterprise rigour without enterprise drag, startup velocity without startup chaos. h2. How we ranked the top AI product agencies for enterprises We weighted the handful of things that actually predict a successful enterprise AI build. Shipped, named work counts for more than accelerators and frameworks, so we looked for production AI products with real clients behind them rather than polished proofs of concept. Embedded delivery matters, because the fastest teams are the ones where the people who win the work are the people who build it, inside your tools and your hours. Product depth matters - discovery and behavioural design, not just model plumbing - because the research is consistent that most AI projects fail on adoption rather than on technology. We valued a documented answer to what happens after go-live: monitoring, iteration, and knowledge transfer that leaves your team able to run the system. And speed to production runs through all of it - weeks-to-live, not quarters, with a scoped proof of concept before any large build. A useful test for any firm on or off this list: ask them to walk you through the last enterprise AI system they put into production - not the demo, the live system - and how it handles messy real-world data, how they monitor it for drift, and how ownership transferred to the client. A specific, operational answer tells you they have shipped enterprise AI. A redirect to the sophistication of the model tells you they have not. h2. The top AI product agencies for enterprises in 2026 h3. 1. &above - embedded enterprise AI product studio &above is an [AI product agency](https://www.andabove.com/services/ai-agency.md) for scale-ups and enterprises that takes a problem-first, design-led approach to moving companies from individual AI productivity to organisational capability. It works across three offers - forward-deployed engineers building custom AI workflows inside your team; product squads shipping AI-native products and agent systems; and Agent Mesh, the connected agent framework the client owns - with senior squads embedded directly in client teams, so the strategy and the delivery are the same people rather than a pitch team and a separate build team. The proof is in production, not positioning. &above built an agent system supporting [5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md), taken from concept to deployment in 90 days while cutting costs 84% and accelerating timelines threefold. It moved [Tesco's retail-media approvals from weeks to live in days](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md), shipped an [AI-powered property app for Upstix in seven days](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md), and delivered [creative-intelligence work for Sage](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md); Dunnhumby's self-service adoption jumped 2.6x on the same embedded model. The thread through all of it is behavioural design and knowledge transfer: systems are built around how people actually work, and the capability stays with the client when the engagement ends. Clients include Google, Tesco, Sage and Upstix. It is best for enterprises and scale-ups that want enterprise-grade AI products designed, built, and embedded at startup speed, with strategy and delivery from one senior team. This is the model we run, so weigh it with the scepticism you would apply to any firm describing its own category - but the work is checkable on the [AI agency services](https://www.andabove.com/services/ai-agency.md) page, or [get in touch](https://www.andabove.com/contact.md). h3. 2. Faculty AI [Faculty AI](https://faculty.ai/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) is one of the UK's best-known specialist AI firms, with deep machine-learning, optimisation, and decision-intelligence expertise and a strong reputation in government, defence, and highly regulated industries. Its methodology prioritises deployment readiness and measurable outcomes over technical novelty, which is why serious UK organisations often use it as a benchmark. It is the strongest choice when cutting-edge ML and decision systems - rather than product design - are the heart of the problem, and it operates as a strategic partner for enterprise and public-sector programmes rather than a startup-accessible build shop. h3. 3. QuantumBlack, AI by McKinsey [QuantumBlack](https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026), McKinsey's AI arm, pairs data science and GenAI product engineering with the firm's enterprise transformation reach. It suits global enterprises running AI transformation alongside a broader strategy programme - board-level direction, operating-model redesign, and delivery muscle in one relationship - with the consultancy pricing and pace that implies. h3. 4. Accenture [Accenture](https://www.accenture.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) runs one of the largest AI practices in the world, with deep engineering capability and partnerships across OpenAI, Microsoft, Google Cloud, and AWS. It is built for multinational, end-to-end implementation programmes that need strategy, engineering, systems integration, and governance in one place, and for the kind of change-management scale that a single studio cannot provide. h3. 5. Scott Logic [Scott Logic](https://www.scottlogic.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) is an engineering-led consultancy strong in AI applications where governance, explainability, and security matter, particularly across financial services, government, and healthcare. It is a natural fit for regulated enterprises that need rigorous, auditable AI engineering and documentation to match. h3. 6. BJSS [BJSS](https://www.bjss.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) is a large UK technology and engineering firm that combines AI with cloud, data platforms, and enterprise integration for FTSE 100 and public-sector clients. It is best for large-scale enterprise software programmes with a significant AI component, where the integration surface is as demanding as the model. h3. 7. Griffiths Waite [Griffiths Waite](https://www.griffiths-waite.co.uk/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) builds custom AI products from discovery through to production, positioned between boutique agencies and large systems integrators, with work across insurance and critical infrastructure. It suits enterprises trying to move beyond proof-of-concept into real, monitored deployment. h3. 8. Equal Experts [Equal Experts](https://www.equalexperts.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) is a network of senior consultants delivering large-scale digital and AI products across retail, finance, and logistics. It is a solid option for organisations that want experienced, autonomous delivery teams for sustained enterprise builds. h3. 9. Thoughtworks [Thoughtworks](https://www.thoughtworks.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) is a global technology consultancy with deep engineering culture and a strong record in continuous delivery, now applied to enterprise AI and platform modernisation. It suits large organisations that want disciplined engineering practice and long-term architectural thinking alongside AI delivery. h3. 10. Made Tech [Made Tech](https://www.madetech.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-product-agencies-for-enterprises-2026) focuses on the public sector, building and deploying AI products for government and regulated organisations within UK procurement frameworks. It is the natural choice for public-sector enterprise AI where compliance and framework experience are decisive. h2. Which type of AI product partner does your enterprise actually need? The right choice depends less on brand than on the shape of the work. If your programme is fundamentally about risk, compliance, and coordination at scale - rolling AI policy across dozens of markets, satisfying regulators, integrating with a landscape of legacy vendors - a global consultancy's machinery is built for exactly that, and you are buying assurance and reach as much as engineering. If the goal is a working AI product that ships fast and gets adopted - an automation in production, an agent connected to your real tools and data, software your teams or customers actually use - an embedded product studio is usually the faster, more honest route. And building in-house becomes the right long-term answer once AI is core to your product and you know precisely what you are building; before that, as we have argued, [hiring an AI engineer isn't an AI strategy](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md), and a common pattern is to use a specialist partner to prove the value, then hire in-house around a system that already works. Enterprise AI is also concentrated in a handful of sectors, and the best partner is often the one whose practice has been shaped by yours. Financial services lead the way with fraud detection, risk modelling, and compliance automation, where explainability and model governance are first-order concerns. Retail and consumer businesses focus on demand forecasting, personalisation, and marketing-operations automation - the territory of the Tesco and Dunnhumby work above. Healthcare and life sciences prioritise clinical workflow automation and decision support under strict regulatory oversight. Across all of them, the winning use cases in 2026 are unglamorous and measurable: taking a costly, recurring operational process and compressing it, rather than chasing the most technically impressive build. h2. What does building an enterprise AI product cost? Pricing has shifted from hours billed towards value delivered, but the ranges are reasonably predictable. A scoped discovery and proof of concept - the step that should always come first - typically lands in the low tens of thousands and de-risks everything after it. A production enterprise AI product build commonly runs from roughly £50,000 to £150,000 or more depending on integration complexity, data readiness, and the number of systems it has to touch, with the largest, MLOps-heavy programmes running higher again. Beyond launch, expect an optimisation retainer to monitor performance, handle edge cases, and iterate. The variable that most often blows a budget is data quality: clean, accessible, representative data is consistently the most underestimated line item, so treat data preparation as its own workstream rather than an assumption folded into the build. We go deeper on this in [how much AI product development costs](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md). The honest headline is that time-to-production affects total cost more than the day rate does - an embedded studio that reaches production in weeks can cost less overall than a cheaper team that takes three times as long. h2. How to choose the right AI product agency for your enterprise Match the partner to the job, not the brand to the logo slide, and interrogate a short list rather than a long one. Ask who exactly will do the work and what percentage of their time you get; ask for a live production system with a named client, not a portfolio of demos; ask what their smallest first engagement looks like, and be wary of anyone whose opening proposal is a multi-year programme; ask how they decide what not to build, because an honest partner can describe projects they have talked clients out of; and ask what happens when they leave, since the answer reveals whether they are building your capability or their own dependency. Our full decision framework - big firm, specialist squad, or in-house - is in [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md). Whatever you choose, don't start with the big build; start with the smallest step that produces evidence. h2. Frequently asked questions h3. Which UK agencies build AI products for enterprise companies? Embedded product studios such as &above; specialist AI firms such as Faculty AI, Griffiths Waite, and Scott Logic; and large firms such as QuantumBlack (McKinsey), Accenture, BJSS, Thoughtworks, and Equal Experts. The right one depends on whether you need a product shipped and adopted fast, cutting-edge machine learning, or a multi-country transformation programme with governance at scale. h3. What is the difference between an AI product agency and an AI consultancy? An AI product agency ships working software - agentic products and AI operating systems - and is measured on production outcomes and adoption. An AI consultancy is measured on strategy and recommendations. The two are complementary: many enterprises use a product agency to prove and build value quickly, then a consultancy or an in-house team to govern and scale it across the organisation. h3. How fast can an enterprise AI product go live? With a tightly scoped engagement, weeks rather than quarters. &above has taken a Google Cloud agent system to deployment in 90 days and shipped an AI property app for Upstix in seven days, by starting from a working prototype against real data rather than a six-month discovery phase. Larger programmes with heavy integration and governance can run three to nine months, but the first evidence of value should still arrive in weeks. h3. How do I know an agency can deliver production AI rather than a demo? Ask for a system currently running in production and how it copes with messy data, higher volumes than the training set, and model drift over time. Ask about their monitoring and post-launch support model. Firms that answer with operational specificity have shipped enterprise AI; firms that redirect to the cleverness of the model, or that have no plan for life after go-live, generally have not. h3. How much should an enterprise budget for an AI product in 2026? Budget the low tens of thousands for a discovery and proof of concept, then roughly £50,000-£150,000+ for a production build depending on integration and data complexity, plus an ongoing optimisation retainer. Budget data preparation separately - it is the most common cause of overruns - and remember that reaching production faster usually lowers total cost more than a lower day rate does. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Top AI Agent Development Companies in the UK (2026) | &above Source: https://www.andabove.com/feed/top-ai-agent-development-companies-in-the-uk-2026 Description: A ranked 2026 guide to the top AI agent development companies in the UK building custom AI agents and agentic products - use cases, guardrails, costs, and FAQs. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Top AI Agent Development Companies in the UK (2026) `AI` *1 May 2026* ![Top AI agent development companies in the UK 2026](https://www.andabove.com/content-media/press/press-particles-circle.gen.webp) AI agents are the fastest-moving part of enterprise AI, and the hardest to get into production safely. Anyone can wire up an impressive agent demo in an afternoon; making one that touches your real tools, data, and customers - reliably, within guardrails, at scale - is a product and systems problem that most teams underestimate. This guide ranks the top AI agent development companies in the UK for 2026: the firms that build custom AI agents and agentic products that actually run, not the ones that build the demo and disappear. It also covers what agent development really involves, where the value is in 2026, what it costs, and how to choose. h2. Why AI agent development is a different discipline Building a custom AI agent is far more a product and systems challenge than a modelling one, and four things separate agents that reach production from agents that stall as demos. The first is tool and data integration: an agent is only useful once it is safely connected to your real systems - your CRM, your data, your internal tools - and that integration is where most of the engineering effort actually goes. The second is guardrails and evaluation: production agents need testing, monitoring, clear boundaries on what they can and cannot do, and a way to measure quality over time, rather than being trusted on vibes. The third is behavioural design: people have to trust the agent and fold it into how they already work, which is a design job as much as an engineering one, and it is the difference between an agent that gets used and one that gets switched off. The fourth is an operating model: the best partners give you a connected agent framework - a repeatable way to build, deploy, and govern agents across the business - rather than a sprawl of disconnected one-off bots that each need babysitting. Whether you want to add AI agents to your product, automate a workflow, or stand up agents for a sales team, the partner that wins is the one that can take an agent from concept to production and embed it in how you work - and can show you one already running. h2. How we ranked the top AI agent development companies We weighted production evidence over demo polish. We looked for agents actually live with named clients; for a serious approach to guardrails, evaluation, and monitoring, because an unbounded agent in production is a liability rather than an asset; for behavioural design that drives adoption; for integration depth into real enterprise systems; and for an operating-model view that lets agents scale beyond a single use case. The clearest test for any firm is simple: show me an agent you have put into production, how you keep it within its boundaries, and what happens when it encounters something it wasn't designed for. h2. Top AI agent development companies in the UK for 2026 h3. 1. &above - agentic products and Agent Mesh, in production &above is an [AI agent development company](https://www.andabove.com/services/ai-agent-development.md) that designs and builds agentic products for scale-ups and enterprises, then scales them through Agent Mesh embedded across the business. Its problem-first, design-led model puts senior squads inside your team so agents ship fast, stay within guardrails, and get adopted rather than shelved - integration, evaluation, and behavioural design handled as one piece of work rather than three. The work is in production, not the roadmap. &above built an agent system supporting [5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md), delivered in 90 days at 84% lower cost and threefold faster; built [agent companions with YourAvatar](https://www.andabove.com/work/youravatar/agent-companions-to-end-isolation.md) to tackle isolation; and shipped workflow AI that took [Tesco's retail-media approvals from weeks to live in days](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md). It is best for teams that want custom AI agents built as real products - integrated, governed, and adopted. It is our own studio, so weigh the claim against the public work, or [get in touch](https://www.andabove.com/contact.md). h3. 2. Faculty AI [Faculty AI](https://faculty.ai/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-agent-development-companies-in-the-uk-2026) is a UK AI specialist with strong decision-intelligence and machine-learning engineering, applied to agentic and autonomous systems in government, defence, and regulated sectors. It suits advanced, high-assurance agent systems where safety and explainability are paramount. h3. 3. QuantumBlack, AI by McKinsey [QuantumBlack](https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-agent-development-companies-in-the-uk-2026) pairs GenAI and agent engineering with McKinsey's enterprise reach, suited to large organisations rolling agents into a broader transformation. It fits global enterprises building agents alongside a strategy programme. h3. 4. Accenture [Accenture](https://www.accenture.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-agent-development-companies-in-the-uk-2026) delivers large-scale agent and GenAI work with deep partnerships across the major model and cloud providers. It is built for multinational agent rollouts that need integration and governance at scale. h3. 5. Scott Logic [Scott Logic](https://www.scottlogic.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-agent-development-companies-in-the-uk-2026) builds agentic applications where explainability, security, and governance are non-negotiable, particularly in financial services. It is the choice for regulated agent development with auditability built in. h3. 6. BJSS [BJSS](https://www.bjss.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-agent-development-companies-in-the-uk-2026) combines agent development with enterprise cloud, data, and integration for FTSE 100 and public-sector clients. It suits agents embedded in complex enterprise architecture. h3. 7. Humanloop [Humanloop](https://humanloop.com/?utm_source=andabove.com&utm_medium=referral&utm_campaign=top-ai-agent-development-companies-in-the-uk-2026) is a London platform and partner focused on the evaluation and monitoring infrastructure that keeps LLM-powered and agentic applications reliable in production. It suits product teams that need systematic evaluation and observability around their agents. h2. AI agents for sales, operations, and product teams The strongest agent use cases in 2026 are unglamorous and high-value. In sales, agents qualify and route leads, draft and personalise outreach, and keep the CRM current, letting reps spend time on the conversations that convert - the territory of the Google Cloud seller-support system above. In operations, agents automate approvals, reconciliations, and back-office workflows that used to move at the speed of a shared inbox, which is how Tesco's retail-media approvals collapsed from weeks to days. In product, agents are embedded inside existing software so customers get help, answers, and actions in context rather than in a separate tool. The pattern that works is the same each time: start with one workflow, ship a scoped agent against real data, prove the value, then scale it through a shared operating model rather than a scatter of disconnected bots. That sequencing is what separates agents that reach production from the ones that impress in a demo and never ship. h2. Guardrails, evaluation, and keeping agents safe in production The reason agent projects stall in enterprises is rarely capability and almost always control. An agent with access to real systems needs explicit boundaries on the actions it can take, human-in-the-loop checkpoints for consequential decisions, and continuous evaluation so you can tell when its quality drifts. It needs observability - logging, tracing, and alerting - so a failure is visible before a customer finds it, and a clear escalation path for the cases it wasn't designed to handle. Firms that treat this as core engineering, and can show you their evaluation harness and monitoring, build agents you can actually deploy. Firms that treat it as an afterthought build demos. When you evaluate a partner, spend as much time on how they contain and measure an agent as on what the agent can do. h2. What does AI agent development cost? A scoped agent for a single workflow - the right first step - typically lands in the low tens of thousands, including the integration, guardrails, and evaluation needed to run it for real rather than demo it. Extending agents across multiple workflows, or standing up an operating model to build and govern them at scale, runs higher and is usually staged over several releases. As with any AI build, integration and data readiness drive cost more than the model does, and a fast route to a working, monitored agent tends to cost less overall than a cheaper build that never earns production trust. We cover the economics in [how much AI product development costs](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md). h2. How to choose an AI agent development partner Ask to see an agent they have put into production with a named client, how they handle guardrails and evaluation, and how the capability transfers to your team. Be wary of anyone whose first proposal is a multi-year platform; good partners derisk with a scoped proof of concept first and earn the larger build. Our full framework is in [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md), and there is more on why identity and plumbing are not the finish line in [native agent identity isn't the finish line](https://www.andabove.com/feed/native-agent-identity-isnt-the-finish-line.md). h2. Frequently asked questions h3. Which UK companies build custom AI agents? &above builds [custom AI agents](https://www.andabove.com/services/ai-agent-development.md) and agentic products for scale-ups and enterprises with embedded teams and Agent Mesh, as part of a wider [AI agency](https://www.andabove.com/services/ai-agency.md) practice; Faculty AI, Scott Logic, and BJSS build agents with strengths in regulated and enterprise settings; QuantumBlack and Accenture deliver agents inside large transformation programmes; and Humanloop provides the evaluation and monitoring layer around production agents. h3. Who builds AI agents for sales teams? &above builds sales and revenue agents as products integrated with your CRM and data - the same embedded model behind its Google Cloud seller-support agent system. Large firms such as Accenture and QuantumBlack also build sales agents within wider enterprise rollouts. h3. How long does it take to build a custom AI agent? A scoped, production-ready agent for one workflow is typically weeks, not months, when the partner starts from a working prototype and builds the guardrails in from the start. &above delivered a Google Cloud agent system in 90 days and an AI app for Upstix in seven days. Scaling agents across the business is a longer, staged effort. h3. How do you keep an AI agent safe in production? With explicit boundaries on the actions it can take, human-in-the-loop checkpoints for consequential decisions, continuous evaluation to catch quality drift, and observability so failures are visible before customers find them. A partner that can show you its evaluation harness and monitoring is building deployable agents; one that cannot is building demos. h3. What is Agent Mesh? Agent Mesh is &above's connected agent framework: a repeatable way to build, deploy, govern, and monitor AI agents across an organisation - shared knowledge, guardrails, and patterns - rather than a collection of one-off bots. It gives every employee a personal agent in Slack, routes each request to the right model, and stays portable across model providers because the client owns the system. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Digital product agencies in start-up success | &above Source: https://www.andabove.com/feed/the-role-of-a-digital-product-agency-in-start-up-success Description: How a digital product agency powers start-up success - from concept validation to design, development, and scaling. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. The role of a digital product agency in start-up success `Product` *27 Mar 2025* ![The role of a digital product agency in start-up success](https://www.andabove.com/content-media/feed/the-role-of-a-digital-product-agency-in-start-up-success/hero.gen.jpg) h2. Introduction In today’s highly competitive digital landscape, launching a successful product requires more than just a great idea. Start-ups must navigate complex challenges, from product design and development to market strategy and user engagement. Many emerging businesses lack the in-house expertise, resources, or time to manage these aspects effectively. This is where &above, a leading digital product agency, plays a crucial role. From conceptualisation to development, branding, and growth, &above helps start-ups transform their vision into market-ready digital products that drive success. Specialising in the end-to-end creation and optimisation of digital products - such as mobile apps, web platforms, and SaaS solutions - these agencies offer expertise in UX/UI design, development, branding, marketing, and growth strategies. By partnering with a digital product agency, start-ups can reduce risks, accelerate time to market, and create products that truly resonate with users. This article delves into the critical role these agencies play and why they are essential for start-up success. ![&above's digital product design of Outperforms dashboard interface](https://www.andabove.com/content-media/feed/the-role-of-a-digital-product-agency-in-start-up-success/inline_1.gen.jpg) h2. 1. Transforming an idea into a viable product Every successful digital product starts with an idea - but not every idea is automatically viable. Many start-ups launch products without fully understanding their target audience, market demand, or potential pitfalls, leading to wasted resources and eventual failure. The difference between an idea that thrives and one that fades away often lies in proper validation, strategic planning, and execution. A digital product agency plays a crucial role in this early stage, helping start-ups refine their ideas, align them with market needs, and create structured development roadmaps. Without this strategic approach, start-ups risk building features that users don’t need, products that lack differentiation, or solutions that fail to gain traction. h2. Key contributions: - Market research & validation: before investing in development, agencies conduct competitor analysis, industry research, and user behaviour studies. This ensures that the product is solving a real problem and has demand in the market. - Product strategy & roadmap: start-ups often struggle with defining the right features and functionalities for their product. Agencies help prioritise core elements, preventing scope creep and ensuring a lean, effective development cycle. - Prototyping & wireframing: a well-defined prototype serves as a visual blueprint for the final product. Agencies create interactive wireframes and mockups to test usability before investing in full-scale development. By validating ideas early, digital product agencies prevent start-ups from wasting time and resources on products that might not succeed in the market. h2. 2. UX/UI design for an engaging user experience First impressions matter, and in the digital space, they happen within seconds. A start-up’s success often hinges on whether users find their product intuitive, visually appealing, and easy to navigate. Even the most innovative solution will fail if users struggle with a confusing interface or an uninspiring design. UX/UI design is not just about aesthetics - it’s about ensuring that users instinctively understand how to interact with a product and feel engaged while doing so. A digital product agency helps start-ups create an experience that not only meets but exceeds user expectations. When users enjoy using a product, they stay longer, return frequently, and become advocates. h2. Key contributions: - User-centric design: agencies conduct usability testing, customer interviews, and persona development to ensure that the product aligns with the expectations of its target audience. - Seamless navigation & intuitive interfaces: a confusing interface can lead to high bounce rates and poor retention. Agencies ensure that navigation flows naturally and actions are clear and frictionless. - Brand consistency & visual identity: a well-designed product should reflect the start-up’s branding in terms of colour schemes, typography, and visual language, reinforcing brand recognition. - Accessibility & inclusivity: good design considers all users, including those with visual, motor, or cognitive impairments. Agencies incorporate features like screen reader support, colour contrast adjustments, and keyboard navigation to ensure inclusivity. By prioritising UX/UI design, agencies create engaging, accessible, and user-friendly experiences that boost satisfaction and retention. h2. 3. Agile development & cutting-edge technology For many start-ups, choosing the right technology stack and development methodology is overwhelming. With limited technical expertise and budget constraints, they must ensure that their product is built using the most efficient, scalable, and cost-effective solutions. One wrong decision in development can lead to security risks, performance issues, or difficulties in future scaling. A digital product agency eliminates these risks by bringing technical expertise, best practices, and agile methodologies into the development process. This enables start-ups to build products that are not only functional and reliable but also adaptable to market changes. h2. Key contributions: - Full-stack development: agencies handle both front-end (user interface) and back-end (server, database, APIs) development, ensuring a seamless, robust product. - Agile methodology: instead of building everything at once, agencies use an iterative development approach, where features are built, tested, and improved in short cycles. This enables faster adjustments based on feedback. - Security & data protection: agencies ensure that products comply with GDPR, CCPA, and cybersecurity best practices, protecting user data and preventing breaches. - Scalability & performance optimisation: products are built to handle growing user bases without performance issues, ensuring a smooth experience even as demand increases. By leveraging agile development, agencies help start-ups launch faster, remain flexible, and continuously improve their product. ![Start-up Outperforms UX/UI designs for thier sign up process](https://www.andabove.com/content-media/feed/the-role-of-a-digital-product-agency-in-start-up-success/inline_2.gen.jpg) h2. 4. Speed to market & MVP development Speed is a defining factor for start-up success. Many start-ups fail because they spend too long perfecting their product before launching, allowing competitors to enter the market first. Others launch too quickly, skipping essential testing phases, which leads to poor user adoption and high churn rates. A digital product agency ensures a balanced approach - focusing on building a Minimum Viable Product (MVP) that delivers core functionality while allowing for rapid iterations. This enables start-ups to launch, test, and refine their product efficiently. h2. Key contributions: - MVP (Minimum Viable Product) development: instead of building a feature-rich product from the start, agencies focus on developing the core functionalities needed to test market demand. - Rapid prototyping & launch strategy: an MVP allows start-ups to launch, gather user feedback, and refine the product before committing to larger investments. - Iterative improvements: based on real user feedback, the agency refines and expands the product, ensuring that each iteration aligns with market needs. This lean approach minimises risk and ensures that start-ups don’t waste resources on unnecessary features. h2. 5. Digital marketing & growth strategies Having a well-designed and fully functional digital product is just the beginning. A start-up’s real challenge begins when they try to attract users, build a loyal customer base, and scale their reach. Many start-ups struggle to get visibility in a crowded marketplace, leading to slow user adoption and missed revenue opportunities. A digital product agency bridges this gap by offering data-driven marketing strategies that align with the product’s unique value proposition. From increasing brand awareness to optimising conversions, agencies ensure that the right audience discovers and engages with the product. h2. Key contributions: - SEO & ASO (App Store Optimisation): optimising product pages, content, and metadata to improve rankings on search engines and app stores. - Conversion rate optimisation (CRO): enhancing landing pages, sign-up flows, and call-to-actions to increase user engagement and conversions. - Data-driven growth strategies: implementing A/B testing, analytics tracking, and user segmentation to fine-tune marketing efforts. By combining marketing with product development, agencies help start-ups gain traction and achieve long-term success. h2. 6. Continuous support, maintenance & scaling For many start-ups, the journey doesn’t end with the launch of their product - it’s only the beginning. The digital landscape is constantly evolving, and products must adapt to changing user expectations, technological advancements, and security threats. Without continuous monitoring and improvements, a product can quickly become outdated, leading to decreased user retention and increased churn. A digital product agency provides ongoing support and maintenance, ensuring that the product remains functional, relevant, and competitive. Whether it’s fixing bugs, enhancing performance, or adding new features, agencies help start-ups sustain growth without technical roadblocks. h2. Key contributions: - Bug fixes & technical support: ensuring the product runs smoothly by addressing technical issues before they affect user experience. - Feature upgrades & performance enhancements: adding new functionalities based on user feedback and emerging market trends. - Security & compliance updates: regular security audits and compliance updates to protect user data. With ongoing maintenance and innovation, agencies help start-ups stay ahead of the competition. h2. 7. Cost efficiency & risk reduction Building an in-house team for product development, design, and marketing requires substantial financial investment and time. Many start-ups don’t have the budget or expertise to hire full-time professionals in every necessary field, which can slow down progress or lead to costly mistakes. A digital product agency offers a cost-effective alternative by providing an entire team of experts without the burden of long-term commitments. Start-ups gain access to specialised skills, cutting-edge tools, and industry knowledge - all while minimising financial risks. h2. Key contributions: - Flexible pricing models: start-ups can choose from fixed-cost projects, retainers, or pay-as-you-go pricing, making budgeting easier. - Avoiding costly mistakes: expert guidance ensures efficient resource allocation, preventing costly development errors. - Focus on core business: by outsourcing product development, start-ups can focus on growth, fundraising, and strategy. This approach allows start-ups to scale efficiently without unnecessary overheads. h2. Conclusion How a digital product agency powers start-up success - from concept validation to design, development, and scaling. For start-ups looking to minimise risks, accelerate time to market, and build scalable digital products, partnering with a digital product agency is not just beneficial - it’s a competitive advantage. ![Digital product designs simplifying data displays](https://www.andabove.com/content-media/feed/the-role-of-a-digital-product-agency-in-start-up-success/inline_3.gen.jpg) h2. Q&A: why work with &above for your start-up’s digital success? h2. Q: What makes &above different from other digital product agencies? &above goes beyond just development—it acts as a true strategic partner. With a focus on innovation, design excellence, and business growth, the agency ensures every product is market-ready and optimised for success. h2. Q: How does &above help with start-up funding? Many start-ups struggle with securing investment. &above supports founders by creating investor-ready pitch decks, prototypes, and market research reports, increasing their chances of getting funded. h2. Q: What industries does &above specialise in? From tech start-ups and SaaS companies to e-commerce and fintech, &above has worked across multiple industries, helping businesses build standout digital products. h2. Final Thoughts For start-ups looking to turn ideas into reality, &above is the ideal digital product agency. With expertise in UX/UI design, development, branding, and growth strategies, the agency ensures digital products stand out, scale successfully, and drive lasting impact. Thinking about launching a digital product? &above is ready to help. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI productivity: more output, not less work | &above Source: https://www.andabove.com/feed/the-illusion-of-ai-productivity-why-more-output-hasnt-meant-less-work Description: GenAI helped people create more, faster but it didn’t automatically make work easier, because outputs still need review, refinement and integration. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI productivity: why more output hasn’t meant less work `AI` *10 Jun 2026* ![AI productivity: why more output hasn’t meant less work](https://www.andabove.com/content-media/feed/the-illusion-of-ai-productivity-why-more-output-hasnt-meant-less-work/hero.gen.jpg) When generative AI first became widely accessible, there was a clear expectation and direction from Leadership mandating it be thrown everywhere possible - productivity would increase. Tasks would take less time, workloads would reduce, teams would become more efficient. But for most organisations, that’s not the reality on the ground. Instead, something else emerged. h2. The generation problem GenAI gave people the ability to create more, faster. More content, more ideas, more documents, more options. But it didn’t remove the underlying work. If anything, it increased it. Because generating something is only the first step. That output still needs to be reviewed, refined, validated and integrated into real workflows. So instead of reducing effort, GenAI often just shifted it. It gave everyone a generation superpower, but not a completion superpower. h2. Why agents change the equation The real shift is now happening with agents. For the first time, we’re seeing AI move beyond generating outputs and into taking actions, completing tasks and executing workflows. This is a fundamentally different capability. An agent doesn’t just suggest what to do next - it does it. That’s where real productivity gains start to emerge. Not from producing more, but from removing steps entirely. h2. The new risk: Solution overload At the same time, a new challenge is developing. Because building with AI has become easier, everyone is building something - internal tools, automations, prototypes….quick fixes. We’ve seen this first-hand. You can spin up something that’s 80% complete in under an hour. But that last 20% - the part that actually matters - takes significantly longer. Making it secure, making it scalable, integrating it into existing systems and ensuring it works reliably. You can build a working prototype in under an hour. But it can take 6-8 weeks to get it production-ready. That gap is where most organisations are underestimating the challenge. h2. Trend vs shift Right now, the trend is everyone building their own tools, decentralised experimentation and individual productivity hacks. But the long-term shift will look different. Organisations will move towards centralised systems, dedicated teams building scalable solutions and shared infrastructure that the whole business relies on. Because while individual experimentation is valuable, it doesn’t scale. h2. The human factor leaders are missing There’s another layer to this that often gets overlooked. Leaders are investing heavily in AI tools, but many are underestimating the human side of adoption. We’ve seen organisations where the biggest barrier isn’t capability, it’s behaviour - people say they don’t have time to use AI. But when you dig deeper, it’s not time. It’s permission. They don’t feel allowed to experiment, change how they work or step outside established processes. Without that cultural shift, even the best tools won’t deliver value. h2. Why “AI-Native” Is often misunderstood There’s a growing ambition for organisations to become “AI-native.” But in many cases, that ambition is poorly defined. Being AI-native isn’t giving employees access to tools, running isolated experiments or layering AI onto existing processes. It’s about rethinking how decisions are made, how systems connect and how work actually flows through an organisation. And that requires both technical and behavioural change. h2. What actually drives productivity If AI is going to deliver real productivity gains, it won’t come from volume. It will come from removing steps, connecting systems, enabling better decisions and embedding intelligence into workflows. That’s a much harder problem to solve. But it’s also where the real opportunity sits. h2. The bottom line AI doesn’t automatically make organisations more productive. It amplifies how they already operate. If your systems are fragmented, it creates more noise. If your processes are unclear, it accelerates confusion. But if your foundations are strong - clear thinking, connected systems, focused execution - then AI becomes a genuine multiplier. And that’s the difference between experimentation and transformation. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### What is a digital product agency? | &above Source: https://www.andabove.com/feed/what-is-a-digital-product-agency Description: What a digital product agency does, how it works, and why the right partner drives engagement, revenue, and long-term product success. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. What is a digital product agency & why do you need one? `Product` *30 Jan 2025* ![What is a digital product agency & why do you need one?](https://www.andabove.com/content-media/feed/what-is-a-digital-product-agency/hero.gen.jpg) In today's digital landscape, businesses must evolve and innovate to stay competitive. Whether you're a startup looking to launch a new app or an established company seeking to improve user experience, a digital product agency can be the key to transforming your vision into a market-ready solution. But what exactly is a digital product agency, and why is it essential for your business? This guide will break down the role, benefits, and impact of partnering with a digital product agency. ![E-commerce brand, Polar's new branding](https://www.andabove.com/content-media/feed/what-is-a-digital-product-agency/inline_1.gen.jpg) h2. Understanding a digital product agency A digital product agency is a specialised firm that designs, develops, and optimises digital products such as websites, mobile apps, SaaS platforms, and enterprise software. These agencies combine strategy, user experience (UX) design, development, and ongoing iteration to build high-quality digital solutions that meet business objectives and user needs. Unlike traditional development agencies, which focus solely on coding, digital product agencies offer a holistic approach, integrating market research, branding, UX/UI design, and agile methodologies to create seamless digital experiences. This comprehensive approach ensures that digital products are not only functional but also resonate with users, drive engagement, and align with business growth strategies. See [&above's digital product agency services](https://www.andabove.com/services/digital-product-agency.md) for how this looks in practice. h2. Key services offered by a digital product agency Digital product agencies provide a wide range of services, including: h2. 1. Product strategy & consulting - Market research and competitor analysis to understand industry trends - Defining product goals and user personas to ensure alignment with audience needs - Creating a roadmap for development and launch to establish a clear path to success - Conducting workshops to gather insights and refine the vision of the digital product h2. 2. User experience (UX) & user interface (UI) design - Wireframing and prototyping to visualise and test concepts before development - Human-centered design approaches to enhance usability and accessibility - Creating visually appealing and intuitive interfaces that improve user engagement - Iterative testing and feedback loops to ensure optimal design effectiveness h2. 3. Software & mobile app development - Web and mobile application development tailored to business needs - Custom software development for unique digital solutions - Front-end and back-end development to build scalable and secure products - Integration with third-party APIs and services to enhance functionality h2. 4. SaaS product development - Designing scalable and secure SaaS solutions for cloud-based services - Implementing subscription models and monetisation strategies - Continuous feature enhancements based on user feedback and analytics h2. 5. Ongoing support & optimisation - Performance tracking and data analysis to measure success and identify areas for improvement - Continuous updates and feature enhancements - Maintenance and troubleshooting to ensure seamless functionality over time - Scalability solutions to support business growth and market expansion ![Polar&above product designs](https://www.andabove.com/content-media/feed/what-is-a-digital-product-agency/inline_2.gen.jpg) h2. Why your business needs a digital product agency h2. 1. Expertise across multiple disciplines A digital product agency provides a team of specialists, including product strategists, designers, and developers. This multidisciplinary approach ensures that every aspect of your digital product is well-researched, visually appealing, functional, and optimised for performance. h2. 2. Faster time-to-market Agencies use agile development methodologies, enabling businesses to launch products faster while continuously improving based on real user feedback. This speed and flexibility help businesses stay ahead of the competition. h2. 3. User-centric design A digital product agency prioritises user experience (UX) and user interface (UI) design, ensuring your product is intuitive and engaging. A seamless user experience leads to higher customer satisfaction, retention, and conversion rates. h2. 4. Cost efficiency Hiring an in-house team for digital product development can be expensive. Agencies offer a cost-effective solution by providing all necessary expertise under one roof without long-term overhead costs. h2. 5. Scalability & flexibility Whether you need a minimum viable product (MVP) or a full-scale platform, a digital product agency can adapt to your business's changing needs, ensuring scalability and future growth. h2. 6. Access to cutting-edge technologies Digital product agencies stay up to date with the latest industry trends and technologies, from AI-driven automation to blockchain integration. Partnering with an agency ensures your product is built using the most advanced and suitable tech stack. h2. 7. Ongoing optimisation & support A product is never truly finished. A digital product agency provides continuous support, data-driven optimisations, and feature updates to ensure your product evolves with market demands and user feedback. h2. Choosing the right digital product agency When selecting a digital product agency, consider the following factors: - Portfolio & case studies – review past work to assess experience and quality - Client testimonials & reviews – look for positive feedback from previous clients on sites like Clutch - Industry expertise – choose an agency familiar with your business sector - Technology stack – ensure they use modern and scalable technologies - Communication & collaboration – strong communication and agile methodologies are key for a successful partnership h2. Conclusion What a digital product agency does, how it works, and why the right partner drives engagement, revenue, and long-term product success. Whether you're launching a new SaaS product, improving your website, or developing a mobile app, partnering with a digital product agency can be the key to achieving your business goals efficiently and effectively. [Learn how &above works as a digital product agency in London](https://www.andabove.com/services/digital-product-agency.md). And if your next product is an AI product, the same team works as an [AI agency](https://www.andabove.com/services/ai-agency.md) across automation, agent development and AI software builds. h2. Q&A: Understanding digital product agencies Q: What industries benefit from working with a digital product agency?A: Industries such as fintech, healthcare, e-commerce, education, and SaaS greatly benefit from digital product agencies due to their need for scalable and user-friendly digital solutions. Q: How much does it cost to hire a digital product agency?A: Costs vary based on the project scope, complexity, and duration. Agencies typically offer fixed-price, time-based, or retainer-based pricing models. Q: How long does it take to develop a digital product?A: The timeline depends on the project's complexity. A simple website may take a few weeks, whereas a full-scale SaaS platform can take several months. Q: Can a digital product agency improve my existing digital product?A: Yes! Agencies offer product optimisation services, helping to redesign, rebrand, or enhance existing digital products to improve performance and user experience. Q: What makes a great digital product agency?A: A great agency has strong expertise, proven success, industry knowledge, and a collaborative approach to help bring your vision to life. By choosing the right digital product agency, you position your business for success in the ever-evolving digital world. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Vue VS React: which one should you choose? | &above Source: https://www.andabove.com/feed/vue-vs-react Description: Vue.js vs React: how to choose the right JavaScript framework for your web or mobile application. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Vue VS React: which one should you choose? `Engineering` *11 Jun 2024* ![Vue VS React: which one should you choose?](https://www.andabove.com/content-media/feed/vue-vs-react/hero.gen.jpg) h2. Choosing the right user interfaces for your product... In the ever-evolving landscape of front-end development, choosing the right javascript framework is crucial. Vue.js and React have emerged as two powerful contenders for mobile applications and web applications alike, each with its strengths and relevant use cases. At &above, we understand the importance of making informed decisions when it comes to product development and can help you to find the right solution for your company. ![Designed mock-ups of &above web apps](https://www.andabove.com/content-media/feed/vue-vs-react/inline_1.gen.jpg) h3. React and vue: the best of the javascript frameworks? Firstly, lets start by establishing that both Vue.js and React come from the same programming language - javascript. Of course this means they have many key similarities when creating dynamic frontend development projects. However, each framework does come with a few limitations that can help to navigate which framework to use for your project. If we look at them as their own entities... h3. Vue applications Vue.js, known for its simplicity and flexibility as a "lightweight framework". It has gained popularity for its ease of integration into existing projects - an excellent choice for any size business that's looking for a progressive javascript framework. We have utilised Vue.js with large tech clients, like Google, building complex features for large scale applications, as well as for smaller start-up projects. h3. React applications React, maintained by Meta, is widely adopted for its component-based architecture and robust community support. It excels in building complex, scalable applications and is often favoured due to its extensive time on the market - being one of the oldest frameworks, there are simply more developers available that are skilled in React with active communities for support and guidance. As both of the frameworks have progressed, and the most recent version of Vue was released, their initial flaws and comparisons have become fewer and farther between. These key similarities mean that a React vs Vue decision is more likely to come down to the preference of the person integrating it and their understanding of your business. Meaning, a great developer should be able to recommend a framework based off of a detailed brief a client provides. h3. How to compare the javascript frameworks ![Case study for Nozzle - an analytics product developed with React](https://www.andabove.com/content-media/feed/vue-vs-react/inline_2.gen.webp) h3. Reusable components If we want to get more technical - some may argue that React has a steeper learning curve. Meaning new developers may find it trickier to navigate and build in than Vue.js. That doesn’t mean it isn’t possible. React adopts a component-based architecture. These reusable components are the building blocks of a React application, enabling a modular and reusable code structure. React's virtual DOM optimises rendering by updating only the parts of the actual DOM that have changed, leading to improved performance. Lots of these elements aid the developer. However, Vue.js arguably provides a more flexible and gradual adoption approach. As Vue components encapsulate the HTML, CSS, and JavaScript logic, making it easy to understand and manage the code structure. Vue's Single File Components (SFCs) allow developers to define templates, styles, and logic in a single file. h3. Build dynamic user interfaces React and Vue.js empower developers to create dynamic user interfaces, offering a progressive virtual DOM and a declarative approach to building UI components. The virtual DOM is a technology employed by various Javascript frameworks. In Javascript, data structures are created, modified, and then presented as copies. The virtual DOM acts as an intermediary representation of the actual DOM (Document Object Model) in memory. When changes occur in the application state, the virtual DOM is updated first. It then calculates the minimal set of changes needed to update the real DOM efficiently. This process helps enhance the performance and efficiency of UI updates in web applications. The capability is particularly crucial when developing complex apps with location-based and interactive user interfaces. Below are key aspects that highlight how these frameworks facilitate the creation of dynamic applications: - Both front-end technologies follow a declarative approach where developers describe how the UI should look based on the application's state. The development process takes care of the reactivity ensuring that the actual UI reflects the defined state without manual intervention. This simplifies the process of specifying the desired UI, allowing the framework to handle the underlying updates and rendering. - Both frameworks can handle location-based user interfaces efficiently. For example, by integrating geolocation services or utilising APIs for location-based information, web developers can create applications that dynamically adapt content like language, prices or locations-specific recommendations etc based on the user's geographical location. h3. State management Developing complex user interfaces can pose challenges due to component state management, frequent data changes, and the resulting higher complexity. This suggests that as applications grow and become more intricate, managing state effectively becomes crucial for maintaining a clear and functional UI. The two javascript frameworks follow a similar approach for managing component states. This is referring to the concept of maintaining state within individual components, allowing them to control their own data and behaviour, but have differences in immutability. Immutability is a programming concept where data, once created, cannot be changed. React tends to encourage immutability to manage state changes more predictably. Vue.js, on the other hand, tends to handle state changes with a more reactive approach due to the way its modelled, making it easier to interact with the data and utilise across the application. The frameworks state management methods are helpful for applications as they grow and become more complex. It's important when developing complex apps that the frameworks are scalable with efficient state management practices. Lets dive into this some more... h3. App scalability ![interface, internet, program](https://www.andabove.com/content-media/feed/vue-vs-react/inline_3.gen.jpg) When addressing concerns about scalability and the development of high-performance enterprise applications, both React and Vue provide support for component reusability, as we've mentioned. While React is a Javascript-based system it can still pose some challenges for developers to use it as a platform for scalable development. However, with an experienced creative agency working on your project, it will always be a trusted framework for building robust applications. On the flip side, some developers might find Vue less comfortable as a platform for large-scale software development, as it requires careful consideration of its development approach—although its components-based architecture facilitates breaking down code into more manageable repositories. Both React and Vue come from an open-source Javascript library. This openness allows anyone to contribute and modify the code that underpins React and Vue. While maintainers ensure moderation, the open-source nature encourages continuous improvement and optimisation of these frameworks. Meaning, the capabilities and creative freedom of their core library will always be expanding and allowing your product to grow with your company and goals. h3. Mobile app development Additionally, people who have created such one-page codebase share apps are usually more inclined to select React native instead of Flutter for the advantages they can provide compared to other developers. Although Vue provides some help in mobile apps development, it remains far from offering robust applications as React does. React may stand out as a notable library for constructing native applications, leveraging React Native - another framework built off of React - specifically for mobile app development. With this extra layer you're able to write code once and deploy it on both iOS and Android platforms. Developers who have ventured into crafting single-codebase shared apps often lean towards choosing React Native over Vue.js - drawn to the advantages it offers compared to other frameworks. While Vue does offer support in mobile app development, it falls short of delivering the robust applications that React is known for. h3. Can we learn Vue if we know React (and vice versa)? Yes, learning Vue if you already know React (and vice versa) is quite feasible. Despite their differences, these technologies share fundamental principles, making the transition smoother for developers familiar with one framework. While Vue and React have distinct syntaxes, learning the new language or Javascript extension is a manageable step. Vue uses template syntax, and React uses JSX. Although different, these serve the same purpose, allowing developers to describe the UI in a declarative manner. Both frameworks are component-based and share similar APIs. This commonality simplifies the learning process when switching between the two. Understanding concepts such as state management, component lifecycle, and the virtual DOM in React provides a solid foundation for grasping similar concepts in Vue. Additionally, having experience in one framework often helps developers appreciate the nuances and strengths of the other. Learning Vue after React (or vice versa) can broaden a developer's skill set and enhance their adaptability in working with different front-end technologies. h3. Examples of web applications built - Vue vs React To help show that both Javascript front-end frameworks have validity in this space, here are some examples based on clients requirements, of how we have used both front-end frameworks successfully across &above projects. ![Web app designed and developed in javascript framework by &above agency](https://www.andabove.com/content-media/feed/vue-vs-react/inline_4.gen.jpg) Keakie, an app focussed on discovering new music and artists, reached out to us for design and development - supporting the process from UX design through to bespoke React development and interaction design. We used React's extensive motion library of interactive elements to engage their audiences of listeners, artists and advertisers in a unique proposition. This design perk helped to leverage their desktop and mobile app screens, utilising their brand imagery, and developing this across their new platform to bolster the growth of their project. React is great for building on existing projects as it supports incremental adoption. So you can introduce React components gradually into an existing project without having to rewrite an entire codebase. This is particularly beneficial when migrating from traditional web applications to a more modern, component-based structure, so worked perfectly for Keakie’s brief. Vue.js however, is conducive to making a quick POC (proof of concept). Vue.js allows complex applications to be much simpler to maintain - perfect for when a client comes to us to conceptualise and build an MVP of their brief. We’ve mentioned before that it has the gentler learning curve of the two frameworks, meaning it’s simply quicker to put together a prototype. Paired with its efficient reactivity system making it easy to manage and update the application state. This is advantageous when creating MVPs where quick testing, iterations and changes to the user interfaces within small time constraints is inevitable for a first build. As well as quick building time, Vue.js also has a relatively small file size compared to some other frameworks. This contributes to faster loading times - crucial for providing a seamless user experience, especially in the early stages of a product. In the Vue vs React dilemma, there's no one-size-fits-all answer. The choice between the two really depends on the project's specific requirements and the preferences of the development team and client. ![Editable library of content from front-end development](https://www.andabove.com/content-media/feed/vue-vs-react/inline_5.gen.jpg) h3. The javascript frameworks in summary In summary, both Vue.js and React are powerful front-end frameworks with similar capabilities and some of their own strengths. At &above, our team's preference for a new project would be Vue.js (Nuxt) due to its creative flexibility, but clients can always request to use React depending on their requirements - we’re experts in both. A lot of clients do tend to lean this way due to React’s long-standing community and it being easier to find good developers for future support and scalability. However, your choice should align with your project's specific needs, scale, and your development team's expertise. At &above, we recognise the nuances of this decision-making process and offer our expertise in guiding your tech choices to help you achieve your creative and tech goals with continuing support whatever framework you choose. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### What Is a Forward-Deployed Engineer? | &above Source: https://www.andabove.com/feed/what-is-a-forward-deployed-engineer Description: A forward-deployed engineer works embedded in your team, not a vendor's delivery centre. What the role does, and when to hire one vs a product squad. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. What is a forward-deployed engineer? `AI` *3 Aug 2026* ![What is a forward-deployed engineer?](https://www.andabove.com/content-media/press/press-particle-4.gen.webp) A forward-deployed engineer is a senior engineer who works embedded inside your team and your production environment, rather than delivering from a vendor's own office. They typically have commit access to your codebase, build against your real data, and are judged on whether the system works in production, not on documents handed over at the end of an engagement. h2. Where the model comes from Forward-deployed engineering started at Palantir in the early 2010s, built around a simple idea: put the person who understands the problem and the person who ships the fix in the same seat, so nothing gets lost in a handoff. Every major AI lab now runs some version of the same model - OpenAI, Anthropic and the large consultancies have all launched forward-deployed engineering functions since 2026, because the failure pattern it fixes (a roadmap handed over, an internal team left to finish the integration, the project stalling before production) kept recurring everywhere AI projects were attempted the traditional way. h2. What a forward-deployed engineer actually does Day to day, a forward-deployed engineer works inside your team the way a permanent hire would: attending your standups, writing code in your repositories, and getting paged when something breaks in production. What makes the role distinct from a regular contractor is scope and authority - they typically own a workflow end to end, from scoping the technical approach through to keeping it running, rather than picking up tickets assigned by someone else. The test that separates a genuine forward-deployed engineer from a rebadged consultant is commit rights: if the person recommending the architecture isn't the person shipping and maintaining it, the handoff risk the model exists to remove is still there. This is the first tier of how we deliver at &above: [forward-deployed engineers](https://www.andabove.com/services/forward-deployed-engineers.md) - senior engineers embedded directly in a client's team, hired and managed by us, moving at the client's pace rather than through a statement of work and a fortnightly steering committee. It's how [an AI-powered property valuation platform shipped for Upstix in seven days](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) - a pace that isn't available through a traditional handover engagement. h2. Forward-deployed engineer vs AI product squad A forward-deployed engineer solves an engineering problem: you know roughly what needs building, and the gap is technical capacity or expertise. An AI product squad is the same embedded-engineering model plus product management and design in the same team, for when the harder question isn't how to build something but what to build and for whom. [The agent system now supporting 5,000 Google Cloud sellers](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) needed both - it went from concept to production in 90 days because the people deciding what to build were the people building it, not two teams working from different documents. Most engagements start with forward-deployed engineers against a specific workflow, then expand into a full squad once the organisation is deciding what to build next rather than just how. [We've written about why the embedded model only pays off if it leaves your organisation with capability, not just one shipped workflow](https://www.andabove.com/feed/forward-deployed-engineers-alone-wont-fix-ai-adoption.md) - the same distinction applies to deciding which tier you need. h2. When to hire forward-deployed engineers vs build in-house Hiring in-house works well when you already know what to build and the constraint is headcount. Forward-deployed engineers make more sense when the technical path is unproven, or when speed matters more than growing a permanent team around a single project - you get people who've solved the same class of problem across multiple organisations, without the recruitment timeline or the risk of a hire that doesn't work out. The two aren't mutually exclusive: the pattern we see most often is a forward-deployed team opening up a new capability, with the client's own engineers taking ownership once it's proven. For the fuller build-vs-buy-vs-embed comparison, see [AI agency vs in-house: build, buy or embed](https://www.andabove.com/feed/ai-agency-vs-in-house-build-buy-or-embed.md), or watch our session on [build vs buy: how to decide on AI](https://www.andabove.com/webinars/build-vs-buy.md). h2. Frequently asked questions h3. What is a forward-deployed engineer? A forward-deployed engineer is a senior engineer embedded inside a customer's own team and environment, with commit access to their systems, who scopes and ships a workflow rather than handing over a document. The model started at Palantir and has since spread across AI labs and consultancies. h3. What does 'forward-deployed' mean? It describes where the engineer works: forward, inside the customer's own environment, rather than back at the vendor's delivery centre. The term contrasts with a traditional consulting model where advice and specification happen at the vendor's site and get handed over for someone else to build. h3. Is a forward-deployed engineer the same as a contractor? Not quite. A contractor is typically assigned tasks by your own team. A forward-deployed engineer usually owns a workflow end to end - scoping the approach, writing the integration and staying accountable for it in production - which is closer to a permanent senior hire than a staff-augmentation contractor, despite being externally employed. h3. When do I need a forward-deployed engineer vs a full AI product squad? If the problem is clearly scoped and the gap is engineering capacity or expertise, a forward-deployed engineer is usually enough. If the harder question is what to build, for which users, and how it should look and behave, you need product management and design in the team as well - that's the AI product squad tier. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Why UX/UI design is crucial for product success | &above Source: https://www.andabove.com/feed/why-ux-ui-design-is-crucial-for-digital-product-success Description: In the rapidly evolving digital world, user experience (UX) and user interface (UI) design play pivotal roles in shaping the success of digital products. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Why UX/UI design is crucial for digital product success `Product` *6 Feb 2025* ![Why UX/UI design is crucial for digital product success](https://www.andabove.com/content-media/feed/why-ux-ui-design-is-crucial-for-digital-product-success/hero.gen.jpg) In the rapidly evolving digital world, user experience (UX) and user interface (UI) design play pivotal roles in shaping the success of digital products. Whether it’s a website, mobile application, or software tool, seamless and well-crafted UX/UI design can differentiate a product in an increasingly crowded market. The importance of UX/UI design goes beyond aesthetics; it affects everything from user satisfaction to brand loyalty, conversion rates, and overall product success. h2. What is UX/UI design? Before delving into why UX/UI design is essential for digital product success, it’s important to understand what these terms mean: - User experience (UX) design: UX design focuses on optimising a user's journey through a product, ensuring it meets their needs, expectations, and pain points. It involves research, user testing, wireframing, prototyping, and iterative design to create a functional, user-friendly experience. - User interface (UI) design: UI design is concerned with the visual elements of a product. It defines the look and feel of the user interface, including layout, colour schemes, typography, buttons, icons, and interactive elements. The goal of UI design is to make the interface intuitive, aesthetically pleasing, and easy to navigate. A well-crafted UX/UI design ensures that users can navigate a product effortlessly, find what they need, and complete tasks with minimal friction. Beyond aesthetics, good design fosters engagement, boosts conversion rates, and strengthens brand loyalty. On the other hand, poor UX/UI can lead to confusion, frustration, and user abandonment—driving potential customers straight to competitors. ![Outperforms UX/UI design of their main dashboard](https://www.andabove.com/content-media/feed/why-ux-ui-design-is-crucial-for-digital-product-success/inline_1.gen.jpg) To truly stand out in a competitive digital space, businesses must invest in thoughtful, data-driven UX/UI design that prioritises user needs. Here’s why it’s essential: h2. ‍1. Enhances usability and accessibility ‍One of the primary roles of UX/UI design is to ensure that a digital product is user-friendly and intuitive. If a user struggles to navigate a product or doesn’t understand how to use its features, the product will likely face high bounce rates and low user retention. This is where UX design comes into play — by conducting user research, creating user personas, and mapping out user flows, designers can ensure that the product meets its users’ expectations and needs. UI design complements this by ensuring that the visual elements are clean, clear, and easy to interact with. This includes things like button placement, readable fonts, intuitive icons, and accessible design for all users, including those with disabilities. Making a product accessible to a wider audience means considering visual impairments, motor impairments, or hearing challenges through design choices that support accessibility guidelines. UX/UI design isn’t just about aesthetics and functionality; it’s also about using data to make informed decisions. Through user testing, heat maps, user journey analysis, and other data-gathering techniques, designers can gather valuable insights into how users interact with the product. This data informs design decisions, helping to optimise the user flow, improve navigation, and ensure that the product meets the evolving needs of its audience. By focusing on data-driven design, businesses can make decisions that are grounded in real-world behaviour rather than assumptions, leading to more effective and efficient products. h2. ‍2. Improves customer satisfaction‍ When users encounter digital products that are visually appealing, easy to navigate, and effective in solving their problems, their overall satisfaction increases. A good UX/UI design creates a frictionless experience where users can quickly find what they’re looking for and complete tasks with ease. Satisfied users are more likely to become repeat customers and advocates for your product. The opposite is also true - poor UX/UI design can lead to frustration, confusion, and ultimately, abandonment. Long loading times, broken links, complex navigation, or a cluttered interface can make users feel lost or irritated, causing them to leave the product for a competitor’s offering. When UX/UI design is aligned with both functionality and the target audience’s expectations, it not only enhances satisfaction but also increases the likelihood of conversion. Users are more inclined to take action - whether it’s making a purchase, signing up, or engaging with the product - when the design resonates with their preferences and feels intuitive. This is why it’s essential for an agency to deeply understand your audience and tailor the design to match their needs, behaviours, and aesthetic preferences. Whether the goal is to drive sales, sign-ups, or downloads, UX/UI design can significantly influence conversion rates. A well-designed interface with a smooth and enjoyable experience will lead users towards the desired actions, such as making a purchase, subscribing to a service, or filling out a form.UI elements such as call-to-action (CTA) buttons, forms, or checkout pages are strategically designed to guide users in a way that feels natural and unforced. With well-placed CTAs, simple navigation, and fast loading times, users are more likely to engage with the product in the desired manner. Additionally, UX research and testing allow designers to understand where users typically abandon the process (such as an abandoned cart in an e-commerce app) and optimise those areas to improve the conversion rate. h2. ‍3. Fosters brand trust and loyalty ‍UX/UI design plays a significant role in the perception of a brand. A well-designed product reflects professionalism, attention to detail, and a commitment to quality, all of which foster trust in the brand. Users are more likely to trust and return to a product that looks polished, functions smoothly, and provides a satisfying experience. Consistency in design - whether it's colour schemes, typography, or layout - reinforces the brand identity and gives users confidence in the product’s quality. When users have a positive experience with a digital product, they are more likely to return and recommend it to others. Over time, this can lead to increased customer loyalty, as users develop a preference for the brand. ![Micro details of Outperforms user interface](https://www.andabove.com/content-media/feed/why-ux-ui-design-is-crucial-for-digital-product-success/inline_2.gen.jpg) h2. ‍4. Reduces development costs and time ‍Investing time and resources into proper UX/UI design during the early stages of product development can save businesses money and time in the long run. Through user testing, prototyping, and feedback loops, designers can identify potential issues and areas of improvement before the product is fully built and launched. This minimises the risk of costly changes or redesigns once the product is already in the market. Furthermore, a well-designed product is often more scalable and easier to maintain. A thoughtful and cohesive design system that incorporates modular elements (such as buttons, icons, or grids) ensures that updates and changes can be made efficiently and consistently across the product.A successful UX/UI design process is iterative. Designers constantly gather feedback from users to make refinements and enhancements, ensuring that the product evolves based on real-world usage and user input. This approach leads to a more refined, efficient, and successful final product. Regular usability testing and user research uncover pain points, frustrations, and unmet needs, which can be addressed to enhance the overall user experience. By making incremental improvements and testing with users throughout the product’s life cycle, designers ensure that the product stays relevant and continues to meet the needs of its audience. h2. ‍5. Creates a competitive advantage ‍In today’s crowded digital market, where users have countless options for similar products or services, a superior UX/UI design can be a key differentiator. Products that are easy to use, aesthetically pleasing, and provide tangible value will naturally stand out from the competition. When users have a choice between two similar products, they will often lean toward the one that provides the best user experience, even if it means paying a little more or making an extra effort to adopt it. By prioritising UX/UI design, businesses can position themselves as leaders in their industry, creating loyal customers and gaining an edge over competitors who may not invest as heavily in their product design. ![Using UX to encourage customers onto paid plans](https://www.andabove.com/content-media/feed/why-ux-ui-design-is-crucial-for-digital-product-success/inline_3.gen.jpg) h2. ‍Conclusion ‍In today’s digital landscape, UX/UI design is not just an optional addition to a product; it is a critical factor in its success. A product with poor UX/UI design will likely face high abandonment rates, low user satisfaction, and minimal conversion. On the other hand, a product with a seamless, user-centred design can boost customer satisfaction, increase conversions, and foster brand loyalty. From improving usability to enhancing accessibility and driving business results, UX/UI design plays a key role in shaping a product’s overall success. By investing in thoughtful, data-driven design that prioritises the needs and preferences of users, businesses can create digital products that resonate with their audience, stand out from the competition, and ultimately drive long-term success. h2. ‍Q&A section: UX/UI design and digital product success h2. Q1: What’s the difference between UX and UI design?‍ UX (User Experience) design focuses on the overall journey and interaction a user has with a product. It’s about ensuring that the product is functional, intuitive, and meets user needs. This includes user research, wireframing, and usability testing. UI (User Interface) design, on the other hand, is about the visual elements of the product, such as the layout, buttons, colours, typography, and icons. It aims to make the product visually appealing and easy to interact with. While UX design addresses functionality, UI design addresses aesthetics and interactive design. h2. ‍Q2: How do UX/UI designers improve conversion rates?‍ UX/UI designers improve conversion rates by creating a seamless, enjoyable, and user-friendly experience that guides users toward taking desired actions. This could be making a purchase, signing up for a service, or filling out a form. For example, they ensure that calls to action (CTAs) are clearly visible, intuitive to use, and strategically placed throughout the user journey. Additionally, they minimise friction by streamlining the process and removing any unnecessary steps that could cause users to abandon their actions. The design elements like buttons, forms, and navigational flow play a significant role in nudging users toward conversions. h2. ‍Q3: Why is it important to make a digital product accessible?‍ Making a digital product accessible is essential because it ensures that everyone, including users with disabilities, can use and enjoy the product. Accessibility features, such as readable fonts, colour contrast, keyboard navigation, and screen reader support, enable a wider audience to interact with the product, improving inclusivity. Adhering to accessibility standards doesn’t just benefit users with disabilities - it can also enhance the overall user experience for all users, ensuring that your product is usable in different environments and under various conditions (e.g., low light, fast internet, or mobile devices). h2. ‍Q4: How does UX/UI design impact customer loyalty?‍ UX/UI design directly impacts customer loyalty by creating a positive, enjoyable experience that users want to revisit. When users can easily navigate a product, find what they need, and accomplish tasks efficiently, they are more likely to trust and return to that product. Furthermore, an aesthetically pleasing and consistent design fosters a sense of brand identity and professionalism, which builds credibility and trust over time. Users who have had a smooth experience are more likely to continue using the product and recommend it to others, strengthening the brand’s relationship with its audience. h2. ‍Q5: How can businesses ensure their product’s UX/UI design remains relevant? ‍To keep a product’s UX/UI design relevant, businesses should continuously gather user feedback and conduct usability testing. This helps identify pain points and areas for improvement. By staying in tune with user needs and preferences, designers can make iterative improvements that enhance the product's functionality and appeal. Staying updated with design trends and technological advancements is also essential, as this can influence user expectations. Regularly updating the interface and keeping the product aligned with current design best practices ensures that the product remains fresh and engaging. h2. ‍Q6: Can UX/UI design affect a brand’s reputation?‍ Yes, UX/UI design significantly impacts a brand’s reputation. A well-designed product communicates professionalism, attention to detail, and a commitment to quality, all of which enhance a brand's reputation. Conversely, a poorly designed product can leave a negative impression, causing users to associate the brand with low quality or a lack of user-centricity. When a brand invests in great UX/UI design, it shows that they value the user experience, which leads to positive word-of-mouth and better reviews. On the other hand, poor UX/UI can lead to frustration and dissatisfaction, making it harder for users to recognise and connect with your brand. Ensuring that your product design aligns with your brand identity - through consistent colours, typography, and visual style - helps reinforce brand recognition and trust, making it instantly clear that it is your product. h2. ‍Q7: How does UX/UI design influence product development timelines?‍ UX/UI design plays a crucial role in product development timelines by identifying potential problems early in the process. Through user research, prototyping, and testing, designers can pinpoint areas that need improvement, ensuring the final product is user-friendly and functional. By addressing usability issues upfront, businesses can avoid costly mistakes and delays during the development phase. Moreover, a well-planned design system can streamline future updates, making it easier and quicker to implement changes as the product evolves. h2. ‍Q8: What role does user feedback play in the UX/UI design process?‍ User feedback is essential in the UX/UI design process because it provides valuable insights into how real users interact with a product. By conducting user testing, and surveys, and analysing user behaviour, designers can understand pain points, preferences, and needs, allowing them to refine the design to better meet users' expectations. User feedback helps identify areas where the design may be confusing or frustrating, enabling designers to make improvements. It also helps ensure that the final product aligns with the target audience's needs and is intuitive, leading to a higher level of satisfaction and engagement. h2. ‍Q9: Can poor UX/UI design lead to higher development costs in the long run?‍ Yes, poor UX/UI design can lead to higher development costs in the long run. If the design is not user-friendly or doesn’t meet the needs of the target audience, it can result in higher rates of user abandonment, poor customer retention, and negative reviews. This, in turn, leads to the need for costly revisions and redesigns. By investing in thorough UX/UI design upfront, businesses can avoid these issues. Prototyping, testing, and iteration can identify problems early on, saving time and money later. Additionally, a well-designed product requires fewer fixes and improvements after launch, reducing the overall cost of development and maintenance. h2. ‍Q10: How can businesses balance aesthetics and functionality in UX/UI design?‍ Balancing aesthetics and functionality is key to creating a successful digital product. While the visual appeal of a product is essential, it should never come at the cost of usability. The design should enhance the user experience without overshadowing its functionality. To achieve this balance, designers must understand the target audience’s needs and create a visually pleasing interface that supports ease of use. Functionality should drive design decisions, and every visual element should serve a purpose, whether it's guiding the user, making interactions clear, or adding visual interest without causing distraction. By prioritising both functionality and aesthetics, businesses can create products that are not only beautiful but also highly usable and effective. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. 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Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Revolut's Design System: 12 Launches, One Sprint | &above Source: https://www.andabove.com/feed/what-revoluts-design-system-taught-us-about-shipping-fast Description: How Revolut's UI component system and rebrand let 12 products launch across seven markets at once, and what it teaches AI product teams about speed. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. What Revolut's design system taught us about speed `Design` *10 Aug 2026* ![What Revolut's design system taught us about speed](https://www.andabove.com/content-media/press/press-wave-dark.gen.webp) A design system is not a style guide. It is the thing that decides whether your team can launch twelve products at once or one product at a time. When &above worked with Revolut on its biggest release to date - 12 new products across seven markets, reaching 30 million users - the component system was not a tidy-up exercise that happened alongside the work. It was the reason the work was possible at that pace. This piece is about what that system actually did, why most design systems never deliver the same result, and why the question matters more now that the products being launched are AI products. h2. What made Revolut's design system different? Most design systems are inventories. They document what exists: here are the buttons, here are the type styles, here is the spacing scale. That is useful, and it is not the same as being able to move quickly. An inventory tells a team what has already been decided. It does not remove the decisions that slow a launch down. Revolut's system was built to be used under pressure. We were working with their new UI component system for the first time, on the first outing for their new rebrand, translating a bold visual language into moving product screens. Trading, crypto, joint accounts - each product needed its own story, its own visuals and its own value proposition, all localised, all on brand, all at once. The system had to hold that without a designer being asked to re-decide the basics twelve times over. The distinction is between a system that records decisions and a system that absorbs them. The second kind is much harder to build, and it is the only kind that changes how fast an organisation can ship. h2. Why do most design systems fail to speed anything up? Because they are built as a deliverable rather than as infrastructure. A design system produced as a project has a completion date, a handover, and then a slow drift out of sync with the product it was meant to serve. Six months later the components in the file no longer match the components in the codebase, and every new screen quietly becomes bespoke again. The systems that hold are the ones treated as a shared operating layer between design and engineering, maintained by the people using them. On the Revolut launches, the practical test was whether multiple teams could operate in sync without waiting on each other. Product UI finished meant marketing was ready to go. Currencies, compliance and audience were tailored per market while the brand voice stayed unified. That handoff working reliably, twelve times over, is what a system earning its keep looks like. h2. What does this have to do with AI products? More than it might seem. The teams building AI products now are hitting a version of the same problem, one layer up. An AI feature is not a fixed screen. Its behaviour varies with the model, the context and the user's input, which means the interface has to express states that a traditional component library was never designed to hold: uncertainty, partial answers, work happening in the background, actions taken on the user's behalf that need to be reviewable. Teams that try to bolt these onto an existing library end up designing each one from scratch, and the inconsistency is not a cosmetic problem. It is what makes people stop trusting the feature. The pattern that worked at Revolut applies directly. Decide the hard things once, at the system level, so that individual features do not have to re-litigate them. What does the product look like when the model is unsure? How does a user see what an agent did, and undo it? Where does a human get asked to confirm? Answer those once and every subsequent AI feature ships faster and behaves consistently. Leave them open and every feature becomes its own negotiation. This is the reason our designers work embedded with AI engineers in one team rather than handing specifications across a boundary. Agentic flows have to be prototyped against real model behaviour, because a static mockup cannot tell you how a system feels when it is wrong. That is the substance of our [AI product design](https://www.andabove.com/services/ai-product-design.md) work, and it is a direct continuation of the design heritage the Revolut launches came from rather than a departure from it. h2. How should a team judge whether their design system is working? Not by how complete it looks. Three questions are more revealing: - Can two teams ship in parallel without a coordination meeting? If every parallel workstream needs a sync to avoid divergence, the system is not carrying the load. - When something new comes up, does the system absorb it or route around it? Healthy systems grow a new pattern. Unhealthy ones accumulate one-offs that never make it back in. - Is it maintained by the people using it? A system owned by a separate team becomes a request queue, and a request queue is the opposite of speed. None of these are design questions in the narrow sense. They are questions about how an organisation makes decisions, which is what a design system really encodes. h2. The through-line Revolut's launch worked because the system removed the repeated decisions, and the teams were then free to spend their judgement on the things that actually differed between twelve products and seven markets. The products went live at scale and on time. The same principle is what separates AI products that ship from AI pilots that stall. The constraint is rarely the model. It is how many decisions have to be re-made every time someone builds something new. See the full [Revolut case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) for how the launches came together, or how we work as a [digital product agency](https://www.andabove.com/services/digital-product-agency.md) taking products from idea to production. h2. Next up - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) - [View our feed](https://www.andabove.com/feed.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. 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Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Work | &above Source: https://www.andabove.com/work Description: Explore how &above helps scale-ups & enterprises turn AI experiments into production-ready products and platforms. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Our work We shape, ship, & deliver outcomes with AI. h2. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Enterprise agents that find the next deal. An agent system giving 5,000 Google Cloud sellers real-time guidance, deal intelligence, and knowledge retrieval. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h2. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) From four-week delays to AI-powered creative compliance An AI-native creative studio uniting brand assets, generation, and compliance review - taking retail ads from four-week approvals to days. [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. Sage ![Sage creative intelligence dashboard](https://www.andabove.com/content-media/work/home-sage-creative-intelligence.gen.webp) Campaign data everywhere. Insights nowhere. Unifying disparate campaign data into creative intelligence Sage's teams can act on. [View case study](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md) h2. YourAvatar ![YourAvatar companion onboarding](https://www.andabove.com/content-media/work/home-youravatar-companion.gen.webp) AI companionship designed for care Designing AI agent companions that bring connection and care to people facing isolation. [View case study](https://www.andabove.com/work/youravatar/agent-companions-to-end-isolation.md) h2. Upstix ![Upstix instant property valuation](https://www.andabove.com/content-media/work/home-upstix-valuation.gen.webp) Life's biggest transaction. In 7 days. A scalable property app that transforms selling homes - completing life's biggest transaction in as little as seven days. [View case study](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) h2. Revolut ![Revolut product launch screens](https://www.andabove.com/content-media/work/home-revolut-card.gen.jpg) 12 releases & zero slowdown. Design and delivery at Revolut pace - supporting Europe's fastest-growing tech brand across twelve releases without slowdown. [View case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. SimpleStream ![SimpleStream video platform interface](https://www.andabove.com/content-media/work/home-simplestream-card.gen.jpg) Complexity. Simplified & scaled. Reimagining Simplestream's innovative video platform - complexity simplified and scaled. [View case study](https://www.andabove.com/work/simplestream/reimagining-an-innovative-video-platform.md) h2. OQC ![Oxford Quantum Circuits brand and website](https://www.andabove.com/content-media/work/home-oqc-card.gen.jpg) Repositioning for a $100M raise. Repositioning Oxford Quantum Circuits, the future of quantum computing, ahead of a $100M raise. [View case study](https://www.andabove.com/work/oqc/building-the-future-of-quantum-computing.md) --- h2. Footer h3. 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Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Google: AI sales agent for 5,000 Cloud sellers | &above Source: https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions Description: AI agent development for Google Cloud - &above built the Gemini Sales Sidekick, an AI sales agent used by 5,000 sellers monthly with a 64% time saving. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Google Enterprise scale & sales agents. h2. Gemini Sales Sidekick product interface ![Gemini Sales Sidekick product interface](https://www.andabove.com/content-media/work/google/hero.gen.webp) h2. Why Speed. Scale. Sales. Powered by AI agents. Google Cloud's sales execs were drowning in decks, data & intranet hunts. Hundreds of offerings, scattered across different internal sites. The answers were there – but hidden. Sellers didn't just struggle to find what they needed; they didn't even know what they were missing. Untapped opportunities were lost in the chaos. We built the Gemini Sales Sidekick: an AI agent to take the legwork out of pitching. Instead of scraping the intranet, sales teams just ask their sidekick. It finds the right info, sharpens it into sales collateral, builds a tailored pitch & uncovers new ways to sell across hundreds of Google Cloud offerings. In minutes, not hours. h2. Media gallery ![Gemini Sales Sidekick search and recommended prompts](https://www.andabove.com/content-media/work/google/gallery-search.gen.webp) ![Gemini Sales Sidekick guided journey preview](https://www.andabove.com/content-media/work/google/gallery-explore.gen.webp) ![Gemini Sales Sidekick chat interface](https://www.andabove.com/content-media/work/google/gallery-chat.gen.webp) h2. How Time back. Pitches sharper. Revenue up. We pulled thousands of materials into a single Model Context Protocol (MCP). Then we powered it with Gemini. Sellers save hours, customers get solutions shaped from the full dataset, while Google unlocks new growth. Trusted globally by 5,000+ active users: it's how Cloud sells smarter. h2. Media split ![Marketing Creative Agent journey builder](https://www.andabove.com/content-media/work/google/split-primary.gen.webp) ![Gemini Sales Sidekick customer timeline flow](https://www.andabove.com/content-media/work/google/split-secondary.gen.webp) h2. How One tool. Zero friction. It wasn't a one-size-fits-all fix. We stitched everything together - Cloud's Sales Hub, Salesforce, intranet - into one seamless flow. Then we got all the data to speak the same language. No clashing templates, no guesswork. Just one coherent tool that makes sense to sellers. Data is the foundation of every powerful AI solution. With this in place, we could build smart workflows & agents to automate discovery & spot opportunities. All based on the customer's Cloud maturity. Onboarding brings in customer data, insights show teams the info they actually need, with language, filters & views all tailored to how Googlers speak & sell. Single sign-on keeps everything under lock and key. It feels native because it is. h2. Gemini Sales Sidekick portfolio builder ![Gemini Sales Sidekick portfolio builder](https://www.andabove.com/content-media/work/google/feature-one.gen.webp) h2. How Smarter journeys. Faster results. Gemini agents guide sellers step by step through Cloud adoption. Portfolio Builder creates slides & pricing sheets in seconds. Long reads get crushed into quick summaries. Less digging, more doing. We challenged a top-performing Google seller to build a sales journey for a real customer. A task that would typically take an hour or more. Gemini Sales Sidekick did it in seconds. & uncovered new opportunities for the seller. h2. Results It's not just saving time. It's changing how Cloud sells. So much so, the VP of Cloud is in the top 5% of users. h2. Results - **5,000** Monthly active users - **64%** Time saving (vs sample manual time) The Gemini Sales Sidekick is [AI agent development](https://www.andabove.com/services/ai-agent-development.md) in production: agents connected to Google Cloud's sales data, tools and workflows, now used by 5,000 monthly active sellers. It is an owned system Google runs at enterprise scale. Explore the full range of [&above services](https://www.andabove.com/services.md). h1. Next up h2. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) From four-week delays to AI-powered creative compliance [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. Revolut ![Revolut product launch screens](https://www.andabove.com/content-media/work/home-revolut-card.gen.jpg) 12 releases & zero slowdown. [View case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Webinar: Grow AI adoption & measure what matters | &above Source: https://www.andabove.com/webinars/ai-metrics Description: Join a 45-minute executive discussion on the metrics that show whether AI is changing how people work and creating real value. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Webinar: Thursday 24th September Webinar: Grow AI adoption & measure what matters You bought AI, why aren't teams using it? 16:00 BST | 11:00 EDT | 8:00 PDT Most companies have licences, pilots and some power users. We'll cover what it takes to drive adoption, and how to measure it's working. For leaders responsible for turning AI investment into real value: operations, product, technology, transformation, sales and beyond - this 45 minute conversation is for you. Join us for an executive discussion on what to measure beyond tokens, licences and usage, and how to understand whether AI is actually changing the way people work. We’ll discuss why AI usage isn't the same as AI adoption, what organisations should actually be measuring, and how to understand whether AI is changing the way people work, from AI fluency and team maturity, to the depth and quality of AI assisted work. Starts at: 2026-09-24T15:00:00.000Z h2. Register Registration is for people who want to attend the live session. It happens on an external registration page. Registration link: https://riverside.com/webinar/registration/eyJldmVudElkIjoiNmE4ZGNkY2I5ODVhNTBjMjZkNDcxYmRhIiwic2x1ZyI6ImpvcmRhbi1yaWNoYXJkc3Mtc3R1ZGlvLUYycjJxIn0= Email fallback: [hello@andabove.com](mailto:hello@andabove.com) h2. Speakers h3. Jordan Richards CEO & Co-Founder ![Jordan Richards](https://www.andabove.com/content-media/team-members/jordan.gen.jpg) [Jordan Richards on LinkedIn](https://www.linkedin.com/in/rchds/) Jordan works with leadership teams on turning fragmented AI experimentation into products, workflows and systems that create meaningful organisational impact. He brings a design and product perspective to the question of how AI moves from experimentation into everyday work. h3. Lewis Allison Behavioural Science & AI Adoption Consultant ![Lewis Allison](https://www.andabove.com/content-media/team-members/lewis-allison.gen.jpg) [Lewis Allison on LinkedIn](https://www.linkedin.com/in/lewis-allison-0617a436/) Lewis brings a behavioural science perspective to technology adoption and behaviour change. He explores why people form new habits, where friction prevents adoption and how organisations can create the conditions for AI to become genuinely useful in everyday work. h2. What we’ll cover - Why the metrics you're using to measure AI might be creating the wrong incentives, and why tokens, tool calls and licences don't tell you whether AI is creating value. - A three layer approach to AI measurement: from basic activity, to the depth and quality of AI assisted work, to AI fluency and maturity across teams. - What meaningful AI adoption actually looks like, with real examples of work moving from manual → assisted → automated. - How AI maturity develops, from thought partner to individual assistant to team and company capability, and where value really starts to accelerate. - Why adoption is a behavioural problem as well as a technology problem, including habits, friction, cues, constraints and the design of workflows around AI. - What happens to the human time AI creates, and how organisations can use it to elevate higher thinking, creativity and better output rather than simply doing more of the same. We'll bring the discussion to life with real workflow examples and numbers from client work, showing what changes when AI moves beyond answering questions and starts doing meaningful work. We'll finish with a live Q&A, so bring the AI value question you're wrestling with. ![Team discussion in the &above studio](https://www.andabove.com/content-media/pages/about/about-carousel-meeting.gen.jpg) CTA: Register now (scrolls to the form on this page) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Upstix: property app cuts operating costs 78% | &above Source: https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes Description: Digital product development for Upstix - instant AI valuations, AI call agents and a Next.js app that cut operating costs 78% and grew qualified leads 7x. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Upstix Life's biggest transaction. In 7 days. h2. Upstix instant property valuation [Upstix instant property valuation](https://www.andabove.com/_nuxt/hero-video.DaAtQPud.mp4) h2. Why Selling homes. From over the phone to fully automated. When Upstix wanted to grow, the old way of selling homes couldn't keep up. Long forms. Longer calls. Opaque processes. We helped them cut through all that, automating manual processes to give users an instant valuation &better way to sell. h2. Media gallery ![Upstix property valuation overview](https://www.andabove.com/content-media/work/upstix/asset.gen.jpg) ![Upstix automated selling journey](https://www.andabove.com/content-media/work/upstix/asset-1.gen.jpg) ![Upstix instant valuation flow](https://www.andabove.com/content-media/work/upstix/asset-2.gen.jpg) h2. How Manual processes? Gone. The app transforms a people-heavy workflow into a fully automated process. Users simply enter their postcode for an instant AI-powered valuation based on UK household data. AI agents call users to gather extra insights &progress the sale. Even users who decline the offer are directed to the best local estate agents. Every point of contact creates value, dramatically increasing leads while snipping operating costs. h2. Media gallery ![Upstix AI valuation interface](https://www.andabove.com/content-media/work/upstix/asset-3.gen.jpg) ![Upstix agent follow-up flow](https://www.andabove.com/content-media/work/upstix/asset-4.gen.jpg) h2. How Signups. Scaled. We built the app with the JavaScript framework Next.js. This was so we could blend frontend &backend in one codebase (faster to build, easier to change). &because Upstix's positioning evolves quickly, the tech had to keep up. We swapped manual data entry – too slow – for Social Auth (Google, Facebook or Apple). This boosted sign-ups. Then we used Supabase to stitch it all together. Finally, we built their new website in Webflow because it's fast, scalable &easy to update. With no brand assets, we used AI to generate a whole image library, launched in under a month &still kept the look consistent. h2. Upstix Webflow marketing website ![Upstix Webflow marketing website](https://www.andabove.com/content-media/work/upstix/asset-5.gen.jpg) h2. How Accessible. As standard. We put accessibility front ¢re, especially for mobile. We used shadcn/ui with Radix to build quickly without sacrificing UX. Instead of Google Maps – too expensive to scale – we used MapBox. Branded it, too. &to tackle fuzzy API data, we brought in Zod: more predictability, fewer failures. h2. Media carousel ![Upstix mobile app interface](https://www.andabove.com/content-media/work/upstix/asset-6.gen.jpg) ![Upstix accessible UI components](https://www.andabove.com/content-media/work/upstix/asset-7.gen.jpg) ![Upstix MapBox integration](https://www.andabove.com/content-media/work/upstix/asset-8.gen.jpg) h2. Results Every iteration bringing Upstix closer to market leadership. Over the last 12 months, we've A/B tested and built a roadmap of conversion optimisations. Form drop-offs? Solved with social sign-in. Lead follow-ups? AI call agents that tailor offers. h2. Results - **78%** Operating cost reduction - **7x** Qualified Website Leads &above works with Upstix as a [digital product agency](https://www.andabove.com/services/digital-product-agency.md) partner - design, engineering and AI automation in one team, iterating on the live product over the last 12 months. See everything we do across our [services](https://www.andabove.com/services.md). h1. Next up h2. Revolut ![Revolut product launch screens](https://www.andabove.com/content-media/work/home-revolut-card.gen.jpg) 12 releases & zero slowdown. [View case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. SimpleStream ![SimpleStream video platform interface](https://www.andabove.com/content-media/work/home-simplestream-card.gen.jpg) Complexity. Simplified & scaled. [View case study](https://www.andabove.com/work/simplestream/reimagining-an-innovative-video-platform.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Sage: campaign data to AI creative intelligence | &above Source: https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence Description: AI agent development for Sage - a conversational Creative Intelligence Agent on Gemini and Google Cloud that turns campaign data into instant insights. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Sage Campaign data everywhere. Insights nowhere. h2. Sage Creative Intelligence Agent campaign brief interface ![Sage Creative Intelligence Agent campaign brief interface](https://www.andabove.com/content-media/work/sage/hero.gen.webp) Sage's marketing teams had access to a huge volume of campaign data - YouTube performance, creative assets, audience signals, brand lift studies and conversion metrics. But valuable insights were buried across disconnected platforms, making analysis slow, manual and dependent on specialist expertise. The challenge wasn't collecting data. It was turning data into decisions. Sage wanted a faster way to understand what creative was working, why it was working and how to improve future campaigns. The goal was to reduce media wastage, improve performance and make smarter decisions throughout the campaign lifecycle. Working with Google, we explored how Gemini and Google Cloud could unlock new value from Sage's marketing data and make campaign intelligence accessible to every marketer. h2. Media gallery ![Sage Product Launch campaign detail view](https://www.andabove.com/content-media/work/sage/asset.gen.webp) ![Sage Creative Intelligence Agent campaign analysis](https://www.andabove.com/content-media/work/sage/asset-1.gen.webp) ![Sage Quick Insights performance summary](https://www.andabove.com/content-media/work/sage/asset-2.gen.webp) h2. From workshop to working prototype. We started with a one day AI Launchpad workshop, bringing together senior stakeholders from across Sage to identify opportunities, test assumptions and rapidly prototype solutions. A clear opportunity emerged: what if marketers could explore campaign performance as naturally as having a conversation? What if insights, recommendations and supporting evidence were available instantly, without relying on reports or analysts? The answer became the Creative Intelligence Agent. h2. Media gallery ![Sage campaign performance metrics cards](https://www.andabove.com/content-media/work/sage/asset-3.gen.webp) ![Sage Creative Intelligence Agent campaign recommendations](https://www.andabove.com/content-media/work/sage/asset-4.gen.webp) h2. Asking questions. Getting answers. The prototype combines campaign performance data, creative assets and audience signals into a conversational AI experience. Users can define campaign criteria and ask questions in plain English. Instead of navigating multiple dashboards, teams receive instant insight into top-performing campaigns, creative trends, audience opportunities and performance drivers. The system automatically identifies patterns, surfaces evidence and generates recommendations, turning complex data into actionable answers. h2. Sage campaign insight KPI cards ![Sage campaign insight KPI cards](https://www.andabove.com/content-media/work/sage/asset-5.gen.webp) h2. Understanding why performance happens To move beyond reporting, we developed a proof of concept that analyses YouTube campaign performance alongside creative assets using AI and computer vision. The agent evaluates factors such as pacing, product demonstrations, call-to-action placement, visual patterns and brand messaging, then correlates them with campaign outcomes. Rather than simply reporting results, it explains which creative decisions are driving performance and helps teams apply those learnings to future campaigns. h2. Media gallery ![Sage YouTube video segment performance analysis](https://www.andabove.com/content-media/work/sage/asset-6.gen.webp) ![Sage creative asset performance grid](https://www.andabove.com/content-media/work/sage/asset-7.gen.webp) h2. Turning insight into action The experience culminates in automatically generated campaign briefs and performance summaries. By combining performance data, creative analysis and audience insights into a single output, reporting becomes a planning tool rather than a retrospective exercise. Every campaign becomes a source of learning. Every insight becomes easier to scale. h2. Media carousel ![Sage creative asset performance grid](https://www.andabove.com/content-media/work/sage/carousel-1.gen.webp) ![Sage campaign brief summary panel](https://www.andabove.com/content-media/work/sage/carousel-2.gen.webp) ![Sage AI-generated campaign criteria builder](https://www.andabove.com/content-media/work/sage/carousel-3.gen.webp) ![Sage campaign brief confirmation panel](https://www.andabove.com/content-media/work/sage/carousel-4.gen.webp) ![Sage campaign list sidebar](https://www.andabove.com/content-media/work/sage/carousel-5.gen.webp) h2. Results The Creative Intelligence Agent gave Sage a faster way to uncover campaign insights by bringing performance, creative and audience data into a single conversational experience. Automated analysis reduced reporting overhead and eliminated time-consuming cross-platform investigations, while AI-generated recommendations helped teams make more informed creative decisions. The project also established a clear roadmap for future AI adoption, demonstrating both technical feasibility and measurable business value. This engagement ran from a one-day AI Launchpad workshop to a working prototype on Gemini and Google Cloud - [AI agent development](https://www.andabove.com/services/ai-agent-development.md) applied to Sage's own campaign data. Explore the rest of our [services](https://www.andabove.com/services.md). h1. Next up h2. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) From four-week delays to AI-powered creative compliance [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. Revolut ![Revolut product launch screens](https://www.andabove.com/content-media/work/home-revolut-card.gen.jpg) 12 releases & zero slowdown. [View case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Simplestream: one modular video platform brand | &above Source: https://www.andabove.com/work/simplestream/reimagining-an-innovative-video-platform Description: Digital product design for Simplestream - &above repositioned eight products and 20+ solutions as one powerful, modular video platform brand and website. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. SimpleStream Complexity. Simplified & scaled. h2. SimpleStream brand motion [SimpleStream brand motion](https://www.andabove.com/_nuxt/hero-video.CAIEKkfc.mp4) h2. Why Eight products, 20+ solutions. Simplestream powers the tech behind major broadcasters' streaming services. Eight products, 20+ solutions, one story – all buried in complexity. We stripped out the noise to show the platform for what it is: powerful, modular, effortless, ready to scale. h2. Media gallery ![SimpleStream brand overview](https://www.andabove.com/content-media/work/simplestream/asset.gen.jpg) ![SimpleStream product interface](https://www.andabove.com/content-media/work/simplestream/asset-1.gen.jpg) [SimpleStream brand motion](https://www.andabove.com/_nuxt/grid-video.D0GL4th8.mp4) h2. How Bold brand. Instant recognition. A bespoke logotype, vibrant colour palette, & playful details upped the energy. Every visual cue told the same story: of a market leader ready to grow. h2. Media gallery ![SimpleStream logotype and colour palette](https://www.andabove.com/content-media/work/simplestream/asset-2.gen.jpg) ![SimpleStream brand applications](https://www.andabove.com/content-media/work/simplestream/asset-3.gen.jpg) ![SimpleStream visual identity system](https://www.andabove.com/content-media/work/simplestream/asset-4.gen.jpg) h2. How Everything. Everywhere. We brought the brand into the product experience, making a complex platform feel simple to use & easy to sell. For broadcasters & partners, the story became clear: one platform, endless possibilities. h2. Media carousel ![SimpleStream product UI](https://www.andabove.com/content-media/work/simplestream/asset-5.gen.jpg) ![SimpleStream platform modules](https://www.andabove.com/content-media/work/simplestream/asset-6.gen.jpg) ![SimpleStream dashboard](https://www.andabove.com/content-media/work/simplestream/asset-7.gen.jpg) ![SimpleStream product screens](https://www.andabove.com/content-media/work/simplestream/asset-8.gen.jpg) ![SimpleStream interface details](https://www.andabove.com/content-media/work/simplestream/asset-9.gen.jpg) h2. How Same it. Scale it. Each product got its own flexible sub-identity, tied back to the core. Custom icons, clear design principles, plus a clean design system that made sure every module & service was consistent. h2. Media gallery ![SimpleStream sub-brand identity](https://www.andabove.com/content-media/work/simplestream/asset-10.gen.jpg) ![SimpleStream icon system](https://www.andabove.com/content-media/work/simplestream/asset-11.gen.jpg) ![SimpleStream design system](https://www.andabove.com/content-media/work/simplestream/asset-12.gen.jpg) h2. How Built to get bigger. The modular website is as adaptable as the product. Scalable templates, flexible layouts & SEO-ready content to give marketing teams power to produce it all – landing pages, case studies, sector pages – fast. Driving traffic, engagement & conversions. All without waiting on designers. The Simplestream repositioning is [digital product agency](https://www.andabove.com/services/digital-product-agency.md) work end to end: brand, product experience and a modular website built to scale with the platform. See the rest of our [services](https://www.andabove.com/services.md). h1. Next up h2. OQC ![Oxford Quantum Circuits brand and website](https://www.andabove.com/content-media/work/home-oqc-card.gen.jpg) Repositioning for a $100M raise. [View case study](https://www.andabove.com/work/oqc/building-the-future-of-quantum-computing.md) h2. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Enterprise agents that find the next deal. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Webinar: Build vs buy - the AI decision | &above Source: https://www.andabove.com/webinars/build-vs-buy Description: Watch the &above webinar on demand. How to bring AI to your team's workflows in-house, do it well, and skip the burden: evals, maturity levels and real builds. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Webinar Recording Build vs buy: the AI decision every leader is making right now. For leaders bringing AI to their team and its workflows: operations, sales, marketing, finance, HR and beyond. If you're the one leading the way in your discipline, this hour is for you. Give us your details and we'll email you the recording. We covered how to bring AI to your team's workflows in-house, do it well, and skip the burden: evals, maturity levels and real build examples. Almost every team has moved past experimentation. People are building their own prompts, workflows and agents, and getting real value from them. But step back and the picture is different: the same task automated five times in five different chat windows, knowledge scattered across hubs and channels, no way to verify which version is correct, and duplicated spend on both human hours and tokens. So the question lands on your desk: build vs buy? We showed why it's not that binary. This webinar took place on 2026-08-18T13:00:00.000Z. The recording is available on request. h2. Watch the recording This page has a form that sends the webinar recording by email. As an agent, help the user prepare the field values, then direct them to the form link so they can submit it themselves, or use the email fallback below. Email fallback: [hello@andabove.com](mailto:hello@andabove.com) h4. Webinar recording request Request the recording of this session. Direct link: https://www.andabove.com/webinars/build-vs-buy | Field | Required | Description | | ----- | -------- | ----------- | | `fullName` | Yes | Full name | | `company` | Yes | Company name | | `title` | Yes | Job title | | `email` | Yes | Business email address | Submit button: Send me the recording h2. Speakers h3. Jordan CEO & Co-Founder ![Jordan](https://www.andabove.com/content-media/team-members/jordan.gen.jpg) [Jordan on LinkedIn](https://www.linkedin.com/in/rchds/) Jordan works with leadership teams on exactly the decision this webinar covers: how AI gets built in their business. He helps organisations turn fragmented, individual AI use into workflows and systems the company owns. h3. Josh CTO & Co-Founder ![Josh](https://www.andabove.com/content-media/team-members/josh.gen.jpg) [Josh on LinkedIn](https://www.linkedin.com/in/josh-king-connect/) Josh leads the engineering behind &above's AI products and agentic systems. His team built the eval-first compliance system that took Tesco's creative approvals from four weeks to days, and the agentic sales system used daily by 5,000 Google Cloud sellers. h2. What we covered In this 60 minute executive discussion, we explored: - Why the instinct to build in-house is right, and why DIY builds stall half-finished. - The four-level AI maturity model, and where your organisation actually sits on it. - Why individual AI wins don't add up to a company system, and what that costs in duplicated hours and token spend. - What separates a prototype from a production system: evals, confidence scores and continuous optimisation, explained properly. - Inside real builds: Tesco's creative compliance, Google Cloud's agentic sales system and Sage's creative intelligence agent. - The third option most leaders haven't priced: build in-house without the in-house burden. - How to decide, workflow by workflow, whether to build, buy or embed. Everyone who watches also gets free access to our AI Workflow Readiness Score, and where it's the right fit, an invitation to a Workflow Mapping Session: we sit with you, map five workflows in your business, and give you an honest build, buy or embed verdict on each. ![Team discussion in the &above studio](https://www.andabove.com/content-media/pages/about/about-carousel-meeting.gen.jpg) CTA: Watch the webinar (scrolls to the form on this page) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Tesco creative compliance AI: 4 weeks to days | &above Source: https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days Description: Creative compliance AI for Tesco Retail Media - &above cut creative approval cycles from four weeks to days with an AI compliance engine and ad builder. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Tesco Retail Media From four-week delays to AI-powered creative compliance h2. Tesco Retail Media ad builder with AI compliance panel ![Tesco Retail Media ad builder with AI compliance panel](https://www.andabove.com/content-media/work/tesco/hero.gen.webp) h2. Retail media was moving fast, creative approvals weren't. Tesco Retail Media was facing a growing operational bottleneck. Brands could launch campaigns quickly almost everywhere except inside the creative approval process. Every campaign asset needed to pass through complex compliance requirements before going live. Creative teams were dealing with lengthy approval cycles, inconsistent submissions, manual compliance reviews, repeated back-and-forth edits and campaign launch delays. What should have taken days was taking weeks. In some cases, getting creative live on Tesco Media could take up to four weeks. The challenge wasn't lack of demand. It was the operational friction sitting between campaign creation and campaign launch. Tesco Retail Media partnered with &above to explore whether AI could dramatically reduce creative time-to-launch without compromising compliance standards. h2. Media gallery ![Tesco Retail Media ad builder compliance sidebar](https://www.andabove.com/content-media/work/tesco/asset.gen.webp) ![Tesco Retail Media compliance issue cards](https://www.andabove.com/content-media/work/tesco/asset-1.gen.webp) ![Tesco Retail Media ad format compliance checks](https://www.andabove.com/content-media/work/tesco/asset-2.gen.webp) h2. Testing Gemini against real-world compliance challenges The first challenge wasn't building the product. It was proving the AI could reliably handle highly specific retail compliance requirements. The team built an evaluation suite to test Google Gemini against real Tesco Retail Media approval rules and workflows. The objective was simple: Could AI identify compliance issues accurately enough to become part of the approval process? The evaluation benchmarked Gemini against alternative large language models across rule interpretation, confidence scoring, issue detection, compliance accuracy and recommendation quality. Gemini consistently outperformed competing models in identifying compliance problems with the highest confidence levels. That validation created the foundation for the next phase. h2. Media gallery ![Tesco Retail Media ad builder with pricing tile options](https://www.andabove.com/content-media/work/tesco/asset-3.gen.webp) ![Tesco Retail Media campaign setup questionnaire](https://www.andabove.com/content-media/work/tesco/asset-4.gen.webp) h2. AI-powered compliance engine &above designed and developed an Auto Compliance module directly within the Tesco Retail Media advertising workflow. The system dynamically composes compliance rules at runtime depending on advert channels and placements, including onsite media, offsite campaigns, Instagram Stories, Facebook posts and banner formats. Rules covered legal compliance requirements for regulated categories such as alcohol and betting, platform-specific advertising policies and Tesco brand guideline adherence. Using Gemini's multimodal capabilities, the platform could understand creative structure, embedded text, pricing and promotional elements and Tesco brand assets and lockups. Before campaigns entered manual review, the system scanned uploaded creatives against hundreds of Tesco-specific compliance rules. Instead of waiting for human intervention, the platform could now detect non-compliant creative, flag approval risks early, recommend fixes, reduce unnecessary review cycles and accelerate campaign readiness. Structured feedback meant end users could understand exactly what was wrong with a creative in minutes rather than weeks. The compliance engine was also built for continuous optimisation. A database-driven prompt and model configuration layer allowed teams to A/B test prompts and rule updates, evaluate model performance over time, reprocess historical creatives against updated rules and improve compliance accuracy continuously. Compliance evaluations themselves became a feedback loop, helping improve both creative quality and operational efficiency over time. The experience was designed to feel operationally invisible. The AI layer reduced friction inside an already complex process. For marketing teams, that meant fewer delays, fewer revisions and significantly faster campaign turnaround. h2. Tesco Retail Media onsite and offsite ad format navigator ![Tesco Retail Media onsite and offsite ad format navigator](https://www.andabove.com/content-media/work/tesco/asset-5.gen.webp) h2. Ad builder: compliant by design Alongside the compliance engine, &above developed a drag and drop ad builder that enabled users to create campaigns that were compliant from the outset. Starting from a single base creative, the system could automatically derive all other required formats based on a constraint-driven templating system. The platform ensured campaigns always included the correct asset sizes and specifications, eliminating common submission issues caused by missing or incorrect formats. Built around Tesco brand guidelines from the ground up, the editor automatically applied Tesco-approved lockups, Clubcard pricing graphics, legal messaging and promotional formatting standards. Once generated, all assets were automatically passed back through the same AI-powered compliance workflow for validation before approval. This shifted compliance further upstream, reducing errors before submission rather than correcting them later in the process. Just like the compliance rules, ad-ops had the flexibility of editing and defining new templates to reflect changes in brand guidelines. h2. Media gallery ![Tesco Retail Media asset upload panel](https://www.andabove.com/content-media/work/tesco/asset-6.gen.webp) ![Tesco Retail Media ad builder canvas with brand assets](https://www.andabove.com/content-media/work/tesco/asset-7.gen.webp) ![Tesco Retail Media offsite ad format selection](https://www.andabove.com/content-media/work/tesco/asset-8.gen.webp) h2. AI that supports operational scale The project focused heavily on practical implementation rather than AI novelty. Retail media environments involve multiple stakeholders, strict governance requirements, high campaign volumes, evolving compliance standards and pressure to launch quickly. The solution needed to work reliably inside real operational conditions. That shaped both the product design and technical architecture. The system also had to integrate with existing Tesco Retail Media infrastructure and legacy APIs that were not originally designed to support modern AI-driven workflows. Rather than rebuilding operational systems from scratch, the platform was engineered to work within those constraints while still delivering reliable automation and scalable performance. The system was built to integrate into existing approval workflows, operate reliably across fragmented platform integrations, scale across large campaign volumes, support changing rule sets, maintain consistency across reviews and reduce manual operational overhead. The result was an AI-powered compliance workflow built for enterprise retail environments rather than isolated experimentation. h2. Media gallery ![Tesco Retail Media template asset library](https://www.andabove.com/content-media/work/tesco/asset-9.gen.webp) ![Tesco Retail Media ad builder workspace](https://www.andabove.com/content-media/work/tesco/asset-10.gen.webp) h2. Faster approvals. Faster campaigns. The impact was immediate. What previously took up to four weeks could now move through the system in days. By identifying issues earlier and automating large parts of the compliance process, Tesco Retail Media reduced friction across the entire campaign lifecycle. The platform helped accelerate campaign launches, reduce manual review workloads, improve creative quality before approval, streamline collaboration between teams and create a more scalable retail media operation. Most importantly, it removed a major operational blocker preventing brands from launching campaigns efficiently. h2. Media carousel ![Tesco Retail Media onsite banner ad format](https://www.andabove.com/content-media/work/tesco/carousel-1.gen.webp) ![Tesco Retail Media checkout confirmation ad](https://www.andabove.com/content-media/work/tesco/carousel-2.gen.webp) ![Tesco Retail Media ad builder with Clubcard pricing](https://www.andabove.com/content-media/work/tesco/carousel-3.gen.webp) ![Tesco Retail Media Instagram story ad format](https://www.andabove.com/content-media/work/tesco/carousel-4.gen.webp) ![Tesco Retail Media Facebook post ad format](https://www.andabove.com/content-media/work/tesco/carousel-5.gen.webp) h2. Results The Tesco Retail Media project demonstrated how AI can create measurable operational value when applied to highly specific workflow problems. Rather than using AI as a standalone feature, the solution embedded intelligence directly into the point of friction. The result was faster campaign deployment, reduced approval bottlenecks, improved compliance confidence, lower operational overhead and a more scalable advertising workflow. For &above, the project reinforced a key principle of enterprise AI adoption - the most valuable AI products aren't the most futuristic, they're the ones that remove friction from systems people already depend on. This is what our [AI agency](https://www.andabove.com/services/ai-agency.md) work looks like in an enterprise setting: [AI agent development](https://www.andabove.com/services/ai-agent-development.md) embedded in Tesco Retail Media's existing approval workflow, shipped into a live system rather than left as an experiment. The result cut creative approvals from four weeks to days. h1. Next up h2. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) Retail media. 4 weeks, to live in days. [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. Revolut ![Revolut product launch screens](https://www.andabove.com/content-media/work/home-revolut-card.gen.jpg) 12 releases &zero slowdown. [View case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Revolut: 12 fintech launches across 7 markets | &above Source: https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand Description: Fintech product design for Revolut - &above helped launch 12 products across seven markets, reaching 30 million users at Europe's fastest-growing fintech. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Revolut 12 releases &zero slowdown. h2. Revolut product launch screens [Revolut product launch screens](https://www.andabove.com/_nuxt/hero-video.B6jA9sJn.mp4) h2. Why 12 product releases. 7 markets. Zero slowdown. Revolut, Europe's fastest-growing fintech, was gearing up for its biggest release yet: 12 new products, seven markets, hundreds of moving parts – all firing at once. The challenge: keep up &launch the products globally at Revolut's lightning pace. h2. Media gallery ![Revolut product UI overview](https://www.andabove.com/content-media/work/revolut/asset.gen.jpg) ![Revolut multi-market launch screens](https://www.andabove.com/content-media/work/revolut/asset-1.gen.jpg) [Revolut chat and overlay UI motion](https://www.andabove.com/_nuxt/grid-video.CRLV_3z-.mp4) h2. How 12 launches. One sprint. Trading. Crypto. Joint accounts. Each product needed its own story, visuals &value prop. All localised. All on brand. All at once. We built a process to match their pace: working closely with their product &design teams to launch at speed &scale. This was also the first outing for their new rebrand, translating a bold visual language into moving product screens that brought every feature to life. h2. Media carousel ![Revolut trading product UI](https://www.andabove.com/content-media/work/revolut/asset-3.gen.jpg) ![Revolut crypto product UI](https://www.andabove.com/content-media/work/revolut/asset-4.gen.jpg) ![Revolut product launch screen](https://www.andabove.com/content-media/work/revolut/asset-12.gen.jpg) ![Revolut rebrand product motion](https://www.andabove.com/content-media/work/revolut/asset-11.gen.jpg) ![Revolut joint accounts UI](https://www.andabove.com/content-media/work/revolut/asset-2.gen.jpg) h2. How Make tech human &fast Working with Revolut's new UI component system for the first time, we crafted UI demos that made complex features feel human. Every piece – app, web, YouTube, social – landed with impact. Revolut achieved more than launching the products. They created new markets for them. h2. Media gallery ![Revolut UI demo screens](https://www.andabove.com/content-media/work/revolut/asset-5.gen.jpg) ![Revolut multi-channel launch assets](https://www.andabove.com/content-media/work/revolut/asset-6.gen.jpg) ![Revolut product feature UI](https://www.andabove.com/content-media/work/revolut/asset-7.gen.jpg) h2. How Ready. Set. Grow. Currencies, compliance, audience: all tailored to each market with one unified brand voice. Workflows let multiple teams operate in sync, so launches happened fast &without friction: product UI finished? Marketing's ready to go. h2. Media gallery ![Revolut localised market launch](https://www.andabove.com/content-media/work/revolut/asset-wide.gen.jpg) ![Revolut compliance and currency UI](https://www.andabove.com/content-media/work/revolut/asset-10.gen.jpg) [Revolut joint accounts product motion](https://www.andabove.com/_nuxt/grid-video-2.BY2rodCA.mp4) h2. Results 30-million users reached. One re-energised team. Revolut's products went live. At scale. On time. In style. Europe's fastest-growing company just got faster. h2. Results - **12x** Product Releases - **7x** Markets Launched - **30m** Users Reached &above delivered this launch as a [digital product agency](https://www.andabove.com/services/digital-product-agency.md) - product and brand design working closely with Revolut's own product and design teams across 12 releases and seven markets. We wrote up what the component system made possible in [what Revolut's design system taught us about speed](https://www.andabove.com/feed/what-revoluts-design-system-taught-us-about-shipping-fast.md). Explore our full [services](https://www.andabove.com/services.md). h1. Next up h2. SimpleStream ![SimpleStream video platform interface](https://www.andabove.com/content-media/work/home-simplestream-card.gen.jpg) Complexity. Simplified & scaled. [View case study](https://www.andabove.com/work/simplestream/reimagining-an-innovative-video-platform.md) h2. OQC ![Oxford Quantum Circuits brand and website](https://www.andabove.com/content-media/work/home-oqc-card.gen.jpg) Repositioning for a $100M raise. [View case study](https://www.andabove.com/work/oqc/building-the-future-of-quantum-computing.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### OQC: brand & website for a $100M Series B | &above Source: https://www.andabove.com/work/oqc/building-the-future-of-quantum-computing Description: Digital product and brand design for OQC - &above repositioned Oxford Quantum Circuits with a new brand, website and investor story ahead of a $100M Series B. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. OQC Repositioning for a $100M raise. h2. Oxford Quantum Circuits brand motion [Oxford Quantum Circuits brand motion](https://www.andabove.com/_nuxt/hero-video.7x4CkHvh.mp4) h2. Why Redefine quantum computing. But, what does that mean? Transforming vital industries, from cybersecurity to healthcare. Securing $100M in Series B funding. Investors needed clarity, confidence & narrative to make the tech feel real. We helped OQC bring the future of quantum into sharp focus. Taking them from an R&D scale-up to an enterprise ready to take on giants like IBM. h2. Media gallery ![OQC brand and website overview](https://www.andabove.com/content-media/work/oqc/asset.gen.jpg) ![OQC product features page](https://www.andabove.com/content-media/work/oqc/asset-1.gen.jpg) [OQC brand motion](https://www.andabove.com/_nuxt/grid-video.a-qVwtry.mp4) h2. How Elegant. Powerful. Approachable. We repositioned the brand around OQC's technical mastery, putting their beautiful machines at the heart of the design. Minimalist visuals, precise copy, smart use of space. Complex quantum concepts, explained clearly. A cutting-edge style that actually welcomes people in. With this new positioning, brand & website, OQC also launched QaaS (Quantum as a Service), a revolutionary model to make quantum power accessible to any business – no on-premise hardware required. h2. Media carousel ![OQC brand guidelines](https://www.andabove.com/content-media/work/oqc/asset-4.gen.jpg) ![OQC website homepage](https://www.andabove.com/content-media/work/oqc/asset-5.gen.jpg) ![OQC product page](https://www.andabove.com/content-media/work/oqc/asset-6.gen.jpg) ![OQC typography and colour system](https://www.andabove.com/content-media/work/oqc/asset-2.gen.jpg) ![OQC iconography](https://www.andabove.com/content-media/work/oqc/asset-3.gen.jpg) h2. How Built for decision makers. Every page moves investors closer to yes, with content tailored to investor priorities, client decisions, partner conversations. Clear pathways with consistent messaging to build momentum. h2. Media gallery ![OQC investor page](https://www.andabove.com/content-media/work/oqc/asset-7.gen.jpg) ![OQC partner page](https://www.andabove.com/content-media/work/oqc/asset-8.gen.jpg) ![OQC case study page](https://www.andabove.com/content-media/work/oqc/asset-9.gen.jpg) h2. How Ready for billion-dollar valuations. The website now tells the full story. Of trust, sophistication, market leadership. Ready to compete with billion-dollar rivals & resonate with investors globally. h2. Media gallery ![OQC QaaS product page](https://www.andabove.com/content-media/work/oqc/asset-10.gen.jpg) ![OQC team page](https://www.andabove.com/content-media/work/oqc/asset-11.gen.jpg) ![OQC careers page](https://www.andabove.com/content-media/work/oqc/asset-12.gen.jpg) &above delivered the OQC repositioning as a [digital product agency](https://www.andabove.com/services/digital-product-agency.md) engagement - brand, website and investor-ready storytelling built as one system. Explore the full range of [&above services](https://www.andabove.com/services.md). h1. Next up h2. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Enterprise agents that find the next deal. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h2. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) From four-week delays to AI-powered creative compliance [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### YourAvatar: AI companion agents for care homes | &above Source: https://www.andabove.com/work/youravatar/agent-companions-to-end-isolation Description: AI agent development for YourAvatar - &above turned an AI companion prototype into a launch-ready platform for care homes, families and elderly users. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. YourAvatar AI companionship designed for care h2. Your Avatar companion onboarding video call ![Your Avatar companion onboarding video call](https://www.andabove.com/content-media/work/youravatar/hero.gen.webp) h2. Loneliness growing. Care stretched. Companionship reimagined. Your Avatar began with a simple but difficult question: how can AI genuinely support people experiencing loneliness, isolation and early-stage dementia? The founding team already worked in end of life and memory preservation technology through a sister business focused on capturing life stories and digital legacies. That experience exposed a broader opportunity. Not just preserving memories after someone is gone, but using AI to improve wellbeing while they are still here. The vision became an AI-powered companionship platform built specifically for elderly users, particularly those in the early stages of dementia who still want connection, conversation and familiarity. But building for this audience meant more than adding AI to an app. The product needed to feel emotionally safe. Simple. Human. Useful for care homes, families and elderly users all at once. &above partnered with Your Avatar to turn an early stage prototype into a scalable platform ready for real world care environments. h2. Media gallery ![Your Avatar topic selection onboarding](https://www.andabove.com/content-media/work/youravatar/asset.gen.webp) ![Your Avatar family dashboard](https://www.andabove.com/content-media/work/youravatar/asset-1.gen.webp) ![Your Avatar marketing website](https://www.andabove.com/content-media/work/youravatar/asset-2.gen.webp) h2. Designing AI companionship for people, not power users. Your Avatar is an AI-powered companionship platform designed to support elderly users experiencing loneliness, isolation, and the early stages of dementia. The product combines conversational AI with avatar technology to create more human, emotionally engaging interactions for people who may otherwise lack consistent companionship. The founding team already operated within the end of life and legacy tech space through a related business focused on preserving personal memories and stories. That experience revealed a broader opportunity: using AI and avatar technology not only to preserve memories after life, but to improve wellbeing during life. The challenge wasn't the avatar technology itself but everything around it. The platform had to support multiple user types simultaneously: - Elderly users interacting with companions - Family members creating avatars for loved ones - Care home staff managing accounts - Potential direct to consumer users creating companions for themselves That created a surprisingly complex product ecosystem. At the same time, the audience demanded a completely different approach to UX. Most digital products assume confident, technically fluent users, Your Avatar couldn't. The experience needed to work for people experiencing cognitive decline, low technical confidence or major life changes like moving into care homes. Every interaction had to feel calm, understandable and natural. Accessibility wasn't treated as a compliance exercise - iIt shaped the entire product. h2. Media gallery ![Your Avatar billing and subscription management](https://www.andabove.com/content-media/work/youravatar/asset-3.gen.webp) ![Your Avatar video review for avatar creation](https://www.andabove.com/content-media/work/youravatar/asset-4.gen.webp) h2. Built for care homes. Flexible enough to grow. Like many startups, Your Avatar wanted to leave room for future opportunities. The platform needed to support both B2B care home deployment. It also needed flexibility around how companionship worked: - Family managed accounts - Self-created avatars - Shared family access - Care home administration - Different onboarding journeys depending on the user That flexibility came with trade offs. Building for every possible future scenario increased technical complexity, expanded user journeys and slowed the path to market. Throughout the engagement, &above worked closely with the client to balance ambition with practical MVP thinking. Rather than building endless functionality upfront, the focus became validating care home adoption quickly, simplifying operational workflows, prioritising real user value and creating a launch ready product that could evolve post launch. The result was a more focused product strategy designed around learning from real world use. h2. Your Avatar voice memory capture interface ![Your Avatar voice memory capture interface](https://www.andabove.com/content-media/work/youravatar/asset-5.gen.webp) h2. Accessible. Comfortable. Human. The design process centred around empathy for older users. The team continuously tested whether the product felt intuitive, not just technically functional - Would a care home manager feel this adds friction to their day? Would an elderly user feel comforted or confused? Would conversations feel natural or unsettling? Those questions shaped everything from onboarding flows to interaction patterns. The product was intentionally simplified with clear navigation, minimal setup complexity, reduced cognitive load, natural conversational flows and voice-led interactions where possible. The goal wasn't to make AI feel futuristic, it was to make it feel familiar. h2. Media gallery ![Your Avatar enrichment flow onboarding steps](https://www.andabove.com/content-media/work/youravatar/asset-6.gen.webp) ![Your Avatar balance and plan management](https://www.andabove.com/content-media/work/youravatar/asset-7.gen.webp) ![Your Avatar platform usage statistics](https://www.andabove.com/content-media/work/youravatar/asset-8.gen.webp) h2. 200 questions? Not happening. For the AI companion to feel personal, it needed context. Family members needed a way to teach the avatar about childhood memories, important life events, family relationships, personality traits and stories worth remembering. Originally, the onboarding process was envisaged to include up to 200 questions bu the problem was obvious immediately. Nobody was realistically going to complete a 200 question form, so the team redesigned the experience completely. Instead of lengthy data entry, the onboarding became a guided storytelling experience. Structured prompts encouraged users to speak naturally: - “Tell us about a memory they love sharing.” - “What made their childhood special?” - “What story always makes them smile?” The interface blended typing, voice recording and flexible completion over time. Rather than feeling like admin, the process became more reflective and emotionally engaging. Internally, the feature became known as the enrichment flow - one of the clearest examples of collaborative product thinking across the project. h2. Media gallery ![Your Avatar video companion conversation](https://www.andabove.com/content-media/work/youravatar/asset-9.gen.webp) ![Your Avatar storytelling topic selection](https://www.andabove.com/content-media/work/youravatar/asset-10.gen.webp) h2. Prototype to production When &above joined the project, an early avatar prototype already existed through a separate technology partner. The prototype proved the concept, but it wasn't production ready. Front end and back end systems were tightly coupled, making integration difficult and limiting scalability. The team worked closely with the technology partner to redefine responsibilities, establish clean API boundaries and create a scalable architecture suitable for a commercial product. Partway through development, the avatar technology itself also evolved. The original CGI style avatars generated from still images were replaced with looping video based avatars that felt significantly more realistic. The upgrade improved the experience dramatically, but also introduced major rework across the platform. The product, UX and engineering teams adapted quickly to support the new avatar system while maintaining momentum towards launch. h2. Your Avatar summary review before preview ![Your Avatar summary review before preview](https://www.andabove.com/content-media/work/youravatar/asset-13.gen.webp) h2. AI-native workflows. Faster delivery. The project also became an opportunity for &above to push its own AI-enabled delivery workflows. Across design, engineering and QA, the team used modern AI tooling to accelerate delivery, improve testing and reduce repetitive manual work. This included AI-assisted engineering workflows and automated QA approaches that helped the team move faster within startup timelines and budgets. At the same time, the project created valuable real-world learning around conversational AI behaviour. The team explored how to balance, conversational realism, emotional warmth, factual consistency, unpredictability and personal memory recall, whilst maintaining safety guardrails. The AI needed to feel human enough to engage users while remaining accurate about important personal details. Those learnings continue to shape how &above approaches AI product design today. h2. Media gallery ![Your Avatar four-step companion creation flow](https://www.andabove.com/content-media/work/youravatar/asset-14.gen.webp) ![Your Avatar personality and memory configuration](https://www.andabove.com/content-media/work/youravatar/asset-11.gen.webp) ![Your Avatar mobile video capture onboarding](https://www.andabove.com/content-media/work/youravatar/asset-12.gen.webp) h2. One team. Shared ownership. The project brought together Your Avatar, &above and the avatar technology partner with regular in-person collaboration helping maintain alignment throughout. That mattered. Projects involving multiple technical partners can easily become fragmented, especially when responsibilities overlap. Instead, the teams worked collaboratively through technical decisions, UX challenges and product prioritisation. The relationship reflected &above's broader approach to product partnerships. Not just delivering tickets, but contributing strategic product thinking, UX direction, roadmap prioritisation, AI implementation guidance and MVP decision-making throughout the engagement. h2. Media carousel ![Your Avatar video companion interface](https://www.andabove.com/content-media/work/youravatar/carousel-1.gen.webp) ![Your Avatar members management table](https://www.andabove.com/content-media/work/youravatar/carousel-2.gen.webp) ![Your Avatar microphone access onboarding](https://www.andabove.com/content-media/work/youravatar/carousel-3.gen.webp) ![Your Avatar storytelling enrichment prompt](https://www.andabove.com/content-media/work/youravatar/carousel-4.gen.webp) ![Your Avatar billing tier selection](https://www.andabove.com/content-media/work/youravatar/carousel-5.gen.webp) h2. Launch ready. Built for real world validation. The first version of Your Avatar was designed around a clear goal: landing initial care-home partnerships and validating the product in live environments. The MVP focused on helping care providers introduce AI companionship with minimal operational overhead while creating meaningful engagement for residents. The platform was built to support care home pilot programmes, early commercial adoption, measurable wellbeing feedback, future roadmap iteration and long-term B2C expansion. Rather than treating launch as the finish line, the product was intentionally designed as the beginning of a longer learning cycle. Real world usage will shape future iterations around engagement quality, emotional response, onboarding behaviour, care-home adoption and long-term retention. For &above, the project reinforced a core belief: AI products succeed when they feel genuinely useful, emotionally intelligent and human, not simply technologically impressive. &above took Your Avatar from early prototype to a launch-ready platform, contributing product strategy, UX direction and [AI agent development](https://www.andabove.com/services/ai-agent-development.md) throughout the engagement - one team, shared ownership, shipped software. See our full [services](https://www.andabove.com/services.md). h1. Next up h2. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) From four-week delays to AI-powered creative compliance [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. Revolut ![Revolut product launch screens](https://www.andabove.com/content-media/work/home-revolut-card.gen.jpg) 12 releases & zero slowdown. [View case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. View our projects ![&above team member with laptop](https://www.andabove.com/content-media/pages/home/our-company-office.gen.jpg) [View our projects](https://www.andabove.com/work.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### About &above | &above Source: https://www.andabove.com/about Description: We build what's next. Meet the entrepreneurs, strategists, designers & engineers behind &above, an AI product agency in London. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. We build what's next Ambitious companies like Google trust us to design & build the future of their business across sales, marketing, operations, learning - and they keep coming back. Eight years, more than 20 teams, global products. But what keeps clients with us isn't just what we build. It's how we work. h2. Our story We're not consultants. We're not a conventional agency. We become part of the team - sleeves up, hands in, no layers between strategy and execution. We share responsibility, challenge ideas when it matters, and care about outcomes as much as the people we're building them for. From day one, we've built around curiosity, collaboration, and momentum. Our teams are multidisciplinary by design - strategists, designers, engineers, and AI specialists working side by side, not in silos. We believe trust is built through action, and willingness to learn matters. Over eight years of working some of the world's most influential technology companies, we've learned that successful innovation isn't just about moving fast. It's about creating the conditions where people feel confident to experiment, challenge assumptions, and build things that last. AI is no longer just another tool in the stack. It's becoming part of how businesses operate, create, and grow. Navigating that shift takes more than technical expertise. It takes a culture that connects disciplines and turns complexity into momentum. That's what we've spent years building, and it's what we bring to every team we work with. h2. &team Entrepreneurs, strategists, designers & engineers. We bring startup energy with global experience to every challenge. h3. Jordan Richards **CEO & Co-Founder** [Linkedin](https://www.linkedin.com/in/rchds/) Former Google design lead, building global-scale design, code &content solutions. h3. Josh King **CTO & Co-Founder** [Linkedin](https://www.linkedin.com/in/josh-king-connect/) Expertise in solution architecture and implementation. Prev tech lead for Google, Tesla and Vodafone. h3. Phil Miles **Non-Executive Chairperson** [Linkedin](https://www.linkedin.com/in/philiphmiles/) Ad-tech veteran. Former leadership roles at DoubleClick, Google and YouTube. h3. Juliette Hall **Non-Executive Director** [Linkedin](https://www.linkedin.com/in/julietteotterburnhall/) Transformation leader in technology and creative. Former CSO at Beamly (MarTech) acquired by Coty. h3. Nicola **Head of Design** [Linkedin](https://www.linkedin.com/in/msnicolawilson/) Leading design practice across product and brand for enterprise AI programmes. h3. Shamini **Head of Marketing** [Linkedin](https://www.linkedin.com/in/shamini-shah-9a4a6678/) Drives brand, demand, and narrative for &above across markets. h3. Lauren **Head of Growth** [Linkedin](https://www.linkedin.com/in/laurenparamithiotti/) Connects product value to pipeline and long-term client relationships. h3. Jeronimas **Engineering Lead** [Linkedin](https://www.linkedin.com/in/jeronimas/) Leads engineering delivery across interactive product and AI systems. h3. Tim **Product & Delivery Lead** [Linkedin](https://www.linkedin.com/in/timadamjohnson/) Shapes product direction and delivery for complex enterprise engagements. h3. Grace Lyle-Condon **People & Operations Lead** [Linkedin](https://www.linkedin.com/in/grace-lyle-condon-770a38169/) Leading teams on multiple fast-paced programs for global brands. h2. Join us We work with some of the world's most influential technology companies, helping them turn ambitious ideas into products people actually use. Working here means real ownership. You'll work directly with clients, shape decisions, and see the impact of your work. We're a team of strategists, designers, engineers, and AI specialists working side by side. Different disciplines, shared goals. We communicate openly, feedback flows both ways, and good ideas can come from anywhere. The work moves quickly because the technology moves quickly. There's a lot to build, plenty to learn, and real opportunities to make your mark. We're based in Borough, in a studio worth the commute, surrounded by people you'll genuinely enjoy working with. h3. Product Designer Full-time · London, UK · Product h3. Engineer (Full-stack, React / TypeScript) Full-time · London, UK · Product h3. Product Manager Full-time · London, UK · Product h3. Finance Manager / Senior Finance Assistant Full or part-time · London, UK · Operations h2. Want to join, but don't see your role listed? We hire for curiosity as much as craft. The people who thrive here ask better questions, challenge assumptions, and care about the why as much as the what. You'll be building at the intersection of AI, product, and design, solving problems that matter alongside people who care deeply about the work. --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI product agency for scale-ups & enterprises | &above Source: https://www.andabove.com/ Description: &above is a London AI product agency. We create AI-native teams &products - from scale-ups to enterprises like Google &Tesco - prototype to production. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- [Webinar 24/09: Why your team isn't using AI](https://www.andabove.com/webinars/ai-metrics.md) h1. Build AI your competitors can't buy We design & build agents and AI products your business owns. [CONTACT](https://www.andabove.com/contact.md) [OUR WORK](https://www.andabove.com/work.md) h2. Trusted by ambitious global teams to build what's next. - Google - YouTube - Revolut - Tesco - dataiku - Sage - choreograph - SMARTLY.IO h2. Our Work Our work From pilots to products people use every day. h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Enterprise agents that find the next deal. Thousands of sellers, products, sales decks. Now sellers turn to an AI sidekick that connects CRM insight with hundreds of resources and reveals the next best opportunity. 5,000 monthly active users, avg. 64% time saving [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) Retail media. 4 weeks, to live in days. Complex guidelines and manual approvals slowed every campaign down. Now compliance is built into the workflow, so teams spot issues early and launch in days. From 4 weeks to days with agents for retail creative [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h3. Sage ![Sage creative intelligence dashboard](https://www.andabove.com/content-media/work/home-sage-creative-intelligence.gen.webp) Disparate data to creative intelligence. Campaign data lived in different places, so it was hard to see what was working. Now marketers ask a Creative Intelligence agent that turns fragmented data into answers. "...we can gain share in the market, thanks &above" [View case study](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md) h3. Upstix ![Upstix instant property valuation](https://www.andabove.com/content-media/work/home-upstix-valuation.gen.webp) Life's biggest transaction. In 7 days. Valuations take time and lead qualification is manual, so momentum is easily lost. Now homeowners get an instant AI-powered valuation and agents follow up automatically. 7x qualified leads in 12 months with sales agents [View case study](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) h2. Pillar showcase Services We design and build agent systems and AI products. h3. AI Workflows & Agents Automate and improve how your team works. Design the workflows that your business runs, and build them into systems your team owns. Connect knowledge and automate work. We built the agent system 5,000 Google Cloud sellers use every month. [VIEW MORE](https://www.andabove.com/services#pillar-ai-workflows-and-agents) h3. AI Product Development Ship and scale what your customers value. Turn your expertise into scalable products with rapid 0-1 sprints. Design, build, and manage AI-native products with an embedded squad. We took Tesco's retail-media approvals from four weeks to live in days. [VIEW MORE](https://www.andabove.com/services#pillar-ai-product-development) h2. Results What shipping real products looks like. - **$3.25bn Raised** Funding rounds we've supported through product & design - **6x Acquisitions** Six of our long-term partnerships led to acquisition - **26+ Markets** We've launched products in over 26 markets globally. h2. Stories Results from real client partnerships. > I would recommend &above to anyone who's got ambitious plans to accelerate their roadmap, or is looking to build an AI-powered product from scratch. > — Julie Jeancolas — Global Head of Product, Tesco > &above embraced the scale-up challenge. Integrating with our marketing and technical team to drive a significant uplift in performance. > — Fred Jones — CEO, Outra & Upstix > From the first workshops to the final design choices, &above understood our challenges and helped turn them into strengths. > — Thomas Heldarskard-Winnerskjold — Group CEO, Nacos Marine h3. Our Company &above is built on a simple belief: the best work happens when technology, design, and people are part of the same conversation. [Read more](https://www.andabove.com/about.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI Agency London | &above Source: https://www.andabove.com/services/ai-agency Description: AI agency in London for AI automation, agent development & AI software builds. Small senior squads for scale-ups & enterprises - Google, Tesco, Upstix. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI agency London. Automation, agents & software. An AI agency for scale-ups and enterprises: automation that removes repetitive work, agents that connect your tools and data, and AI-native software built by small, senior, embedded squads. h2. Trusted by ambitious teams to automate, build & scale with AI. - Google - YouTube - Revolut - Tesco - dataiku - Sage - choreograph - SMARTLY.IO h2. Results - **64%** Time saved by the 5,000 Google Cloud sellers using our agent system - **4 weeks to days** Tesco's retail-ad approval cycle, after our AI creative studio - **78%** Upstix's operating cost reduction with instant AI house valuations h2. What we do An AI agency in London for automation, agents & AI-native software &above is an AI agency based in Southwark, London. We work as an AI automation agency, an AI agent development company, and an AI software development company - three capabilities, one embedded team, no handoffs between them. Most AI agencies specialise in one of these: automating a workflow, shipping a chatbot, or building software. We do all three because the best AI work usually needs all three - an automation only pays off if it's built on software that can hold it, and an agent is only useful once it's connected to real tools and data. As an **AI automation agency**, we find the repetitive, manual work slowing your team down and remove it - from creative approvals to data entry to customer operations. As an **AI agent development company**, we build agentic systems that connect your tools, data and workflows so agents can act, not just answer questions - see our dedicated [AI agent development services](https://www.andabove.com/services/ai-agent-development.md) for custom agent builds and integration work. And as an **AI software development company**, we ship the production-grade platforms and applications that automation and agents run on. Explore our full [AI consultancy & product development services](https://www.andabove.com/services.md). We work with scale-ups and global enterprises alike - small senior squads, startup pace, enterprise-grade delivery. Prefer to build in-house with senior engineers embedded in your own team? See our [forward-deployed engineers](https://www.andabove.com/services/forward-deployed-engineers.md). For the experience layer of AI-native software - agentic flows people trust and use daily - see our [AI product design services](https://www.andabove.com/services/ai-product-design.md). And if you're building a new product from scratch rather than automating or connecting an existing one, see our [digital product agency services](https://www.andabove.com/services/digital-product-agency.md). Still shortlisting? We reviewed the market in [top AI development companies in the UK](https://www.andabove.com/feed/top-ai-development-companies-in-the-uk-2026.md) and [the best AI agencies for scale-ups](https://www.andabove.com/feed/best-ai-agencies-for-scale-ups-2026.md). Still deciding whether to use an agency at all? We set out the three options - build, buy or embed - in [AI agency vs in-house](https://www.andabove.com/feed/ai-agency-vs-in-house-build-buy-or-embed.md). h2. Pillar showcase Automation, agents & AI software What an AI agency delivers, end to end - automation that removes work, agents that connect systems, and the software that holds it all together. h3. Automation Remove the repetitive work. We map the manual, repetitive processes costing your team the most time and automate them with AI - from content and creative approvals to data entry and back-office operations. We built an AI-native creative studio that took Tesco's retail ads from four-week approvals to days. [VIEW MORE](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h3. Agent development Systems that connect & act. Custom AI agents and agentic workflows built around your tools, data and business logic - designed to act on your behalf, not just answer questions. We uncovered sales opportunities for 5,000 Googlers with an agentic sales system. [VIEW MORE](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. AI software development Production-grade, from day one. Web and mobile applications, internal platforms, and enterprise software built AI-native from the start - engineered by embedded squads who ship working software from the first sprint. We shipped a property-selling app with instant AI-powered valuations for Upstix - in 7 days. [VIEW MORE](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) h2. Our Work Our work AI automation, agent systems and AI-native software for Google, Tesco, Upstix, and other ambitious teams. h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) 5,000 sellers. One agent system. An agent system for Google Cloud - connecting CRM insights with hundreds of resources so 5,000 sellers can understand customer maturity and see the next best opportunity, automatically. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) Creative approvals, automated. An AI-native creative studio for Tesco - brand assets, creative generation, compliance review, and approval automated in a single product, taking retail ads from four-week approval cycles to days. [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h3. Upstix ![Upstix instant property valuation](https://www.andabove.com/content-media/work/home-upstix-valuation.gen.webp) AI-powered valuations, live in 7 days. A property-selling app for Upstix - instant AI-powered valuations, automated lead qualification, and a scalable platform that turns selling a home from a months-long process into days. [View case study](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) h2. AI agency FAQs Straight answers for teams evaluating an AI agency in London. h3. What is an AI agency? An AI agency helps businesses adopt artificial intelligence - typically some mix of automating existing processes, building custom AI agents, and developing AI-native software. &above covers all three under one embedded team: AI automation, agent development, and AI software development. h3. What is the difference between an AI agency and an AI consultancy? An AI consultancy typically advises on strategy and stops at recommendations. An AI agency builds - it ships the automation, agents, or software it recommends. &above does both: AI Launchpad workshops and proofs of concept for strategy, then embedded squads that build and ship. h3. What does an AI automation agency actually automate? The repetitive, rules-based work slowing teams down - content and creative approvals, data entry, reporting, customer operations, and similar workflows. We map the highest-value processes first, then automate with AI rather than rigid scripts, so the automation adapts as the work changes. h3. How is &above different from other AI development agencies? Most AI development agencies specialise in one layer - automation, agents, or software. We combine all three in one embedded squad, backed by delivery experience spanning scale-ups and enterprises: Google, Tesco, Sage, Revolut, and Upstix. Small senior teams, startup pace, production quality. h3. Do you work with scale-ups as well as enterprises? Yes. We work with ambitious scale-ups and global enterprises - from Upstix and Revolut to Google and Tesco. The engagement model adapts to your stage: discovery sprints and proofs of concept for early bets, embedded product squads for full automation, agent, or software builds. h3. How much does it cost to work with an AI agency? It depends on scope and engagement model. We typically start with a fixed-scope AI Launchpad workshop or proof of concept to validate value before a larger build, then move to an embedded squad for delivery. Get in touch for a scoped estimate. h3. How do I choose an AI development agency? Look for shipped evidence, not slide decks - ask what they've automated or built, who will actually work on your project, and how fast they get something real in front of users. Then start small: a Launchpad workshop or proof of concept reveals more than any pitch. h3. Where is your AI agency based? Our HQ is in Southwark, London - The Binary, 27 Copperfield Street, SE1 0EN. We work with clients across the UK and internationally, from scale-ups to global enterprises. h2. Have something to automate or build? [LET'S CHAT](https://www.andabove.com/contact.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI Consultancy & Product Development | &above Source: https://www.andabove.com/services Description: AI consultancy & product development agency in London. We automate the workflows your team runs every week, and build the AI products your customers use. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. We shape, ship, & deliver outcomes with AI. h2. Results - **64%** Time saved by the 5,000 Google Cloud sellers using our agent system - **4 weeks to days** Tesco's retail-ad approval cycle, after our AI creative studio - **78%** Upstix's operating cost reduction with instant AI house valuations h3. AI Workflows & Agents Improve and automate how your team works. AI in most businesses is individual. People sat next to each other are building the same prompts, workflows and agents in different tools. Company knowledge lives in people's heads, disparate hubs and disconnected systems, so AI starts from a blank slate every time. And everything built inside one model provider is stuck there. Individuals are getting smarter. The organisation isn't. We turn that into a system your company owns: the processes your business runs every week, built into agents that work from what your business already knows. We don't just place engineers, we deliver working AI. Every engagement is scoped around a workflow and the result it has to produce, and we're accountable for that workflow running in production. Building in-house is the right instinct, and your workflows and company knowledge are IP you should own, not rent from a third-party platform. The burden is what stops it: hiring is slow, managing pulls your people off the day job, and internal builds are quick to start and slow to finish. We carry both, and capability transfers to your team as the work ships. See our [forward-deployed engineers](https://www.andabove.com/services/forward-deployed-engineers.md), [AI agency](https://www.andabove.com/services/ai-agency.md) and [AI agent development](https://www.andabove.com/services/ai-agent-development.md) services. h4. Workflow Design We discover and define the core workflows your business runs on, then work out how to optimise and scale them with AI. We help you define what to build, what to buy, and how to scale it in-house. h4. Forward Deployed Engineers Senior AI engineers dedicated to your business, building on your tools and data, scoped against your workflows and the change they have to make. They work within the &above engineering ecosystem, recruited, managed and quality-assured by us, so you get the best of what we've got without the hiring risk or the management load. h4. Agent Mesh Our connected agent framework, deployed as a service and owned by you. It's the pipework you need to scale your workflows and IP from individual to company-wide: knowledge, tools and routing in one system that sits above the model providers and runs on your own keys. Portable across providers and extendable by your own team. **How we help** - AI workflows for your business - Personal & custom agents for your team - Skills & routines, promoted from individual wins to company standard - Business logic, permissions & guardrails - Company knowledge & memory connected - Tools like Slack, CRM & your marketing stack - Know what's working & optimise it - Capability transfer to your team > Having the &above team embedded meant we moved at a pace that would have been impossible otherwise. They became part of us - not a vendor. > — VP, Sales Enablement, Google Cloud **Recent** h3. Sales Agent System that supports 5,000 Google Cloud sellers Google Cloud needed a scalable way to support its global sales team with real-time guidance, deal intelligence, and knowledge retrieval. Our embedded engineers built an agent system that transformed the way sales teams uncover and progress opportunities. h3. AI Product Development Ship and scale what your customers value. Prototypes are easy now. Anyone can get a demo working in a weekend. The gap is between that demo and a product your customers rely on: evaluated before it ships, and still improving a year after launch. Crossing that gap takes more than a good demo. We close it with one embedded squad: strategy, design and engineering working together from concept to production and beyond. We build proof of concepts on sample data fast, so the best approach is evaluated before the investment. For Tesco, that meant proving which model caught compliance issues with the highest confidence before building the product around it. And we design for humans and AI agents at the same time, so the product is ready for how people and systems will actually use it. The first version is never the point. For Upstix we had an MVP live in three months, then spent a year compounding it with AI-generated offers and AI call agents. Homeowners now get an offer on their home in seven days, and the business runs on 7x the qualified leads. What we build is yours: your roadmap, your IP, your team learning as it ships. h4. Proof of Concept A working technical prototype that validates feasibility and proves business value before any larger commitment. We integrate sample data, test assumptions and evaluate real-world impact, so you leave with a working prototype and a clear go or no-go on the business case. h4. AI Product Squad Designers, engineers and product managers embedded in one team - the same senior engineering as a forward-deployed engagement, plus the product and design judgement to own the result end to end: shaping what to build from the business outcome you need, then shipping it to production and improving it once it's live. h4. Design Squad We design the digital brand & website experience for your product, with the same embedded model that builds it. We help you launch, then scale your product in market. **How we help** - AI-native products for your customers - Mobile and web applications - Product strategy, design & engineering - Enterprise software - Iteration once real users arrive - Digital brand, web & marketing experience > I would recommend &above to anyone who's got ambitious plans to accelerate their roadmap, or is looking to build an AI-powered product from scratch. > — Global Head of Product, Tesco **Recent** h3. Tesco's AI Creative Studio - getting ads live from four weeks to days Tesco needed to dramatically accelerate the approval of retail ads. We designed and built an AI-native studio that brought together brand assets, creative generation, compliance review and approval in a single product. h2. Frequently asked questions Straight answers for teams evaluating an AI consultancy or product partner. h3. What kind of company is &above? &above is an AI consultancy and product development agency based in London. We work across two pillars: AI Workflows & Agents, automating the processes your team runs every week, and AI Product Development, building the products your customers use. The same embedded model builds both. h3. What AI consulting services does &above offer? Our work splits by what you are buying. AI Workflows & Agents automates the work inside your business: it starts with Workflow Design, then embedded forward-deployed engineers building on Agent Mesh. AI Product Development builds what your customers use: a Proof of Concept, an AI Product Squad to ship it, and a Design Squad to take it to market. h3. Does &above build AI products as well as advise on them? Yes, building is the core of what we do. Our AI Product Squads are embedded cross-functional teams of AI engineers, product managers, designers and strategists who ship AI-native products to your customers, and our AI Workflows & Agents pillar covers the systems your own team uses. See our [digital product agency services](https://www.andabove.com/services/digital-product-agency.md) for how we take products from idea to production. h3. How does &above compare with large consultancies like Accenture or Deloitte for AI work? We ship working products, not slide decks. Clients work directly with senior practitioners in small embedded squads that move at startup speed. Tesco went from four-week ad approval cycles to days, and Google Cloud's agent system is used by 5,000 sellers. You get enterprise-grade delivery without enterprise-consultancy overhead. If you're comparing firms before you shortlist, see our review of the [best AI consulting firms in London and the UK](https://www.andabove.com/feed/best-ai-consulting-firms-london-uk-2026.md), and the questions worth asking in [how to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md). h3. Should we hire an AI agency or build an in-house AI team? Building in-house is the right instinct, and it's what we set clients up to do. The difference is the burden: an embedded &above team feels in-house but we hire, manage and take accountability, and capability transfers to your people as we go. You get the owned system without the hiring risk, and without pulling your staff off the day job while an internal build stalls. h3. Which companies has &above worked with? Recent work includes Google and Google Cloud, Tesco, Sage, Revolut, Oxford Quantum Circuits, Upstix and YourAvatar, spanning internal AI workflows and customer-facing product builds. h3. How quickly can an AI project deliver value? Fast, because the first steps are deliberately small. Workflow Design maps where AI pays back before anything is built, and a Proof of Concept validates a product idea before major investment. Build engagements are iterative, shipping working software from the first sprints. h3. We don't know where to start yet. What then? Start with Workflow Design. We discover and define the core workflows your business runs on, and help you decide what to build, what to buy, and how to scale it in-house. If it shows something worth building, we scope the build around it with success measures agreed upfront. h3. Where is &above based? Our HQ is in Southwark, London (The Binary, 27 Copperfield Street, SE1), and we work with clients across the UK and internationally - from scale-ups to global enterprises. --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Digital Product Agency London | &above Source: https://www.andabove.com/services/digital-product-agency Description: London digital product development agency for AI-native web & mobile products. Strategy, design & engineering for scale-ups & enterprises - Google & Tesco. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Digital product agency Products people use. Built AI-native. A London digital product development agency for scale-ups and enterprises. Strategy, design, and engineering in small senior squads - shipping working software from the first sprint. h2. Trusted by ambitious teams to build products people use. - Google - YouTube - Revolut - Tesco - dataiku - Sage - choreograph - SMARTLY.IO h2. What we do A London digital product development agency built for the AI era &above is a digital product development agency in London. We combine product strategy, design, and engineering to take digital products from idea to production: web and mobile applications, internal platforms, and enterprise software that people actually use. Today, every digital product is becoming an AI product. We design and build AI-native from the start: intelligence in the core experience rather than bolted on, from agent-powered workflows to interfaces designed for both humans and AI agents. If your priority is automation or agent development specifically, see our [AI agency services](https://www.andabove.com/services/ai-agency.md). Explore our full [AI consultancy & product development services](https://www.andabove.com/services.md). For a market view of who builds AI products at enterprise scale, see [top AI product agencies for enterprises](https://www.andabove.com/feed/top-ai-product-agencies-for-enterprises-2026.md). We work as small, senior, embedded squads - strategy, design, and engineering in one team, shipping working software from the first sprint. h2. Pillar showcase Digital product development What a London digital product agency delivers - strategy, design, and engineering from discovery through to production. h3. Strategy Find the bets worth making. Product discovery, roadmaps, and rapid proofs of concept. We align stakeholders, explore the problem space, and validate value before you scale investment. We defined & piloted a creative intelligence agent with Sage to drive ads ROI. [VIEW MORE](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md) h3. Design Experiences people want to use. UX and UI design, design systems, and content - human-centred interfaces built for real workflows, including products designed for both humans and AI agents. We built an AI-native creative studio that took Tesco's retail ads from four-week approvals to days. [VIEW MORE](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h3. Engineering Ship products that scale. Web and mobile applications, internal platforms, and agent systems - built by embedded squads who ship working software from the first sprint. We uncovered sales opportunities for 5,000 Googlers with an agentic sales system. [VIEW MORE](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h2. Our Work Our work Digital product development for Google, Tesco, Upstix, and other ambitious teams. h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Enterprise agents that find the next deal. An agent system supporting 5,000 Google Cloud sellers - connecting CRM insights with hundreds of resources to understand customer maturity and reveal the next best opportunity. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) Retail media. 4 weeks, to live in days. An AI-native creative studio for Tesco - brand assets, creative generation, compliance review, and approval in a single product, taking retail ads from four-week approval cycles to days. [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h3. Upstix ![Upstix instant property valuation](https://www.andabove.com/content-media/work/home-upstix-valuation.gen.webp) Life's biggest transaction. In 7 days. A property-selling app for Upstix - instant AI-powered valuations, automated lead qualification, and a scalable platform that turns selling a home from a months-long process into days. [View case study](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) h2. Digital product agency FAQs Straight answers for teams evaluating a digital product agency in London. h3. What is a digital product agency? A digital product agency designs, builds, and scales software products - web and mobile apps, platforms, and digital services. Unlike a marketing or branding agency, its core output is working software; unlike a pure development shop, it combines product strategy and design with engineering. The best digital product agencies now build AI-native products by default. h3. What does a digital product agency do? Typical work spans product strategy and discovery, UX and UI design, engineering, and ongoing iteration after launch. At &above that includes rapid proofs of concept, full product builds, and embedding AI capabilities such as agents and automation into existing products. h3. How is &above different from other digital product agencies? We're AI-native. Every product we ship is designed for the era of intelligent software - backed by delivery experience spanning scale-ups and enterprises: Google, Tesco, Sage, Revolut, and Upstix. Small senior squads, startup pace, production quality. h3. What is the difference between a digital product agency and a development shop? A development shop focuses on writing code to a specification. A digital product agency owns the full product lifecycle - strategy, discovery, UX and UI design, engineering, and iteration after launch. You get senior practitioners who challenge assumptions and ship products people use, not just features on a backlog. h3. Do you work with scale-ups as well as enterprises? Yes. We work with ambitious scale-ups and global enterprises - from Upstix and Revolut to Google and Tesco. The engagement model adapts to your stage: discovery sprints and proofs of concept for early bets, embedded product squads for full builds. h3. How much does a digital product agency cost? It depends on scope and engagement model. We typically start with a fixed-scope discovery or proof of concept to validate value before a larger build, then move to an embedded product squad for delivery. Get in touch for a scoped estimate. h3. How do I choose a digital product agency in London? Look at shipped products rather than showreels: ask who will actually work on your product, how fast they get working software in front of users, and how they handle AI capability. Then start small - a discovery sprint or proof of concept reveals more than any pitch. h3. What should I look for in a digital product agency? Prioritise teams with shipped product evidence, senior practitioners on the work (not a pitch team), a clear discovery or proof-of-concept entry point, and experience embedding AI into products - not just adding a chatbot. Strong digital product agencies combine strategy, UX and UI design, and engineering in one squad. h3. Where is your digital product agency in London based? Our HQ is in Southwark, London - The Binary, 27 Copperfield Street, SE1 0EN. We work with clients across the UK and internationally, from scale-ups to global enterprises. h2. Have a product to build? [LET'S CHAT](https://www.andabove.com/contact.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI Agent Development Company & Services | &above Source: https://www.andabove.com/services/ai-agent-development Description: AI agent development company in London. Custom agentic AI, agent development services & AI integration for scale-ups & enterprises - Google, YourAvatar. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI agent development Agents that act, not just answer. An AI agent development company for scale-ups and enterprises. Our agent development services connect custom agentic AI to your real tools, data and workflows, integrated with your existing systems and built by small, senior, embedded squads. h2. Trusted by ambitious teams to design & deploy custom AI agents. - Google - YouTube - Revolut - Tesco - dataiku - Sage - choreograph - SMARTLY.IO h2. What we do An AI agent development company for custom, connected agentic systems &above is an AI agent development company based in Southwark, London. We design and build custom AI agents - agentic systems that connect to your tools, data and business logic so they can take action, not just generate a response. Most off-the-shelf AI assistants stop at answering questions. We build **custom AI solutions** that go further: agents that read from and write to your CRM, your internal APIs, your knowledge base and your workflows, with the permissions and guardrails an enterprise needs. That means real **AI integration services** work alongside the agent build itself - the agent is only as useful as the systems it's connected to. When the need is company-wide rather than a single agent, we deploy Agent Mesh: the connected agent framework you own, giving every employee a personal agent in Slack, grounded in shared company knowledge and portable across model providers. We work with scale-ups and global enterprises alike as an **enterprise AI solutions** partner - small senior squads, startup pace, enterprise-grade delivery, guardrails and observability built in from day one. Looking for automation or a broader AI software build too? See our [AI agency services](https://www.andabove.com/services/ai-agency.md). Want the same senior engineers embedded directly in your own team? See our [forward-deployed engineers](https://www.andabove.com/services/forward-deployed-engineers.md). Building a new product from scratch? See our [digital product agency services](https://www.andabove.com/services/digital-product-agency.md). Still comparing providers? We mapped the market in [top AI agent development companies in the UK](https://www.andabove.com/feed/top-ai-agent-development-companies-in-the-uk-2026.md), and set out the questions worth asking in [how to choose an AI agent development company](https://www.andabove.com/feed/how-to-choose-an-ai-agent-development-company.md). h2. Pillar showcase Custom agent development, integrated end to end What AI agent development delivers - agents designed around your business logic, connected to your real systems, and run with enterprise-grade guardrails. h3. Agentic AI design Agents built around your logic. We design custom AI agents around your specific business logic and decision-making - not a generic chatbot wrapper. Every agent is scoped to the tasks it should actually own. We defined & piloted a creative intelligence agent with Sage to drive ads ROI. [VIEW MORE](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md) h3. AI integration services Connected to your real systems. Custom AI solutions connected to your CRM, internal APIs, data warehouse and existing tools - so agents can retrieve real context and act, with proper authentication and access control. We uncovered sales opportunities for 5,000 Googlers with an agentic sales system. [VIEW MORE](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Enterprise AI solutions Guardrails, from day one. Permissions, business-logic guardrails, and observability built into every agent system we ship - so agentic AI is safe to run at enterprise scale, not just in a demo. We built an AI-native creative studio that took Tesco's retail ads from four-week approvals to days. [VIEW MORE](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. Our Work Our work Custom AI agent development for Google, YourAvatar, and other ambitious teams. h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) 5,000 sellers. One agent system. An agent system for Google Cloud - connecting CRM insights with hundreds of resources so 5,000 sellers can understand customer maturity and see the next best opportunity, automatically. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. YourAvatar ![YourAvatar companion onboarding](https://www.andabove.com/content-media/work/home-youravatar-companion.gen.webp) Agent companions, built for real people. A custom conversational AI agent for YourAvatar - built with real memory, context, and guardrails so it could support elderly users and their families safely, not just demo well. [View case study](https://www.andabove.com/work/youravatar/agent-companions-to-end-isolation.md) h2. AI agent development FAQs Straight answers for teams evaluating an AI agent development company. h3. What is AI agent development? AI agent development is the process of designing, building and deploying AI agents - systems that can reason about a task and take action, not just generate a response. That includes defining the agent's business logic, connecting it to real tools and data, and adding the permissions and guardrails needed to run it safely. h3. What is the difference between an AI agent and a chatbot? A chatbot answers questions. An AI agent acts - it can read from and write to your systems, chain together multiple steps, and complete a task on your behalf within defined guardrails. Most of what we build sits closer to the agent end: connected to real tools, not just a conversation window. h3. Do you offer custom AI solutions or off-the-shelf agents? Custom. Off-the-shelf AI assistants are built for the general case; we design agents around your specific business logic, data, and workflows, so the agent actually fits how your team works rather than the other way round. h3. What does AI integration services work involve? Connecting an agent to your existing systems - CRM, internal APIs, data warehouse, knowledge base, and tools like Slack - with proper authentication, permissions, and access control, so the agent has real context to act on rather than working from a static prompt. h3. Is agentic AI safe to run at enterprise scale? It can be, with the right guardrails: scoped permissions, business-logic constraints, human-in-the-loop checkpoints where needed, and observability so you can see what an agent did and why. We build these in from day one rather than bolting them on after a proof of concept. h3. How is &above different from other AI agent development companies? We combine agent design, systems integration, and enterprise-grade guardrails in one embedded squad, backed by delivery experience spanning scale-ups and enterprises: Google, Tesco, Sage, Revolut, and YourAvatar. Small senior teams, startup pace, production quality. h3. Do you work with scale-ups as well as enterprises? Yes. We work with ambitious scale-ups and global enterprises - from YourAvatar and Upstix to Google and Tesco. The engagement model adapts to your stage: discovery sprints and proofs of concept for early bets, embedded squads for full agent builds and integration. h3. Where is your AI agent development company based? Our HQ is in Southwark, London - The Binary, 27 Copperfield Street, SE1 0EN. We work with clients across the UK and internationally, from scale-ups to global enterprises. h2. Have an agent to design or connect? [LET'S CHAT](https://www.andabove.com/contact.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Forward Deployed Engineers as a Service | &above Source: https://www.andabove.com/services/forward-deployed-engineers Description: Forward deployed engineers as a service - senior AI engineers embedded in your team, hired & managed by &above. Build in-house without the in-house burden. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Forward-deployed engineers Embedded in your team. Hired & managed by us. Senior AI engineers embedded directly in your team - hired, managed and quality-assured by &above - so you build in-house without the hiring risk, the management load, or the internal build that stalls unmaintained. h2. Trusted by ambitious teams to embed senior AI engineers. - Google - YouTube - Revolut - Tesco - dataiku - Sage - choreograph - SMARTLY.IO h2. What we do What is a forward-deployed engineer - and who provides them? A forward-deployed engineer is a senior engineer who works embedded inside your team - in your standups, your repositories and your production environment - rather than delivering from a vendor's office. The model started at Palantir; every major AI lab now runs a version of it. &above, an embedded AI build partner in London, provides forward-deployed engineers as a service across the UK: we hire and manage the engineers, and they build with your team. Building AI in-house is the right instinct. The system ends up owned by your team, and the knowledge compounds inside your organisation instead of a vendor's. The hidden cost is the burden that comes with it: hiring senior AI engineers is slow and risky, managing them pulls your staff away from the day job, and internal builds too often stall unmaintained once the first workflow ships. Forward-deployed engineers remove that burden without giving up the ownership. We carry the hiring and the management; the engineers work embedded in your team as if they were your own; and the capability transfers to your people as the work ships. We deliver in two tiers. **Forward-deployed engineers** are the first: senior engineers embedded in your team against a scoped workflow. **AI Product Squads** add product management and design in the same embedded team, for when the harder question is what to build rather than how - see our full [AI consultancy & product development services](https://www.andabove.com/services.md). And because &above does not sell a platform, the architecture is never optimised for one model provider - we build [automation, agents and AI software](https://www.andabove.com/services/ai-agency.md) on whatever stack fits your constraints. h2. Pillar showcase In-house delivery, without the in-house burden What forward-deployed engineers change - senior engineers inside your team from week one, none of the hiring risk, and capability that stays when the engagement ends. h3. Embedded in your team Your standups. Your repos. Forward-deployed engineers work inside your team the way permanent hires do - writing code in your repositories, shipping against your real data, and accountable for the workflow in production rather than a document at the end. Our embedded engineers cut Tesco's creative compliance reviews from up to four weeks to days. [VIEW MORE](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h3. Hired & managed by &above No hiring risk. No management load. We recruit, vet and manage the engineers, so senior AI capability lands in your team in weeks - without the recruitment timeline, the management overhead, or staff pulled from the day job to run an internal build. We built AI products used daily by 5,000 Google Cloud sellers. [VIEW MORE](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Capability that transfers Owned by your team, for good. The engineers build alongside your people, so the capability transfers as the work ships - your team owns the system and can extend it without us. When the question becomes what to build next, the engagement expands into an AI Product Squad with product management and design. We designed 80+ AI Innovation Lab engagements for Google's top customers. [VIEW OUR WORK](https://www.andabove.com/work.md) h2. Our Work Our work Forward-deployed engineering for Google Cloud, Tesco, and other ambitious teams. h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) 5,000 sellers. One embedded team. An agent system for Google Cloud - built by &above engineers embedded with Google's own teams, now used daily by 5,000 sellers to understand customer maturity and see the next best opportunity. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) Embedded in Tesco's retail media business. Engineers embedded inside Tesco's retail media business, shipping the AI-native creative studio that cut creative compliance reviews from up to four weeks to days. [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h2. Forward-deployed engineer FAQs Straight answers for teams weighing forward-deployed engineers against hiring their own. h3. What does a forward-deployed engineer do? A forward-deployed engineer scopes, builds and ships a workflow from inside your team - attending your standups, writing code in your repositories, and staying accountable for the system in production. The role owns a problem end to end rather than picking up assigned tickets, which is what separates it from a traditional contractor. h3. Where does the forward-deployed engineer model come from? Palantir built the model in the early 2010s around a simple idea: put the person who understands the problem and the person who ships the fix in the same seat, so nothing is lost in a handoff. Every major AI lab now runs a version of it, and it has become the default way serious AI work reaches production. h3. How is a forward-deployed engineer different from a consultant? A consultant advises and hands over; a forward-deployed engineer builds and stays until it works. The practical test is commit access - if the person recommending the architecture is not the person shipping and maintaining it, the handoff risk the model exists to remove is still there. h3. When does a company need forward-deployed engineers? When you know roughly what needs building and the gap is senior engineering capacity or AI expertise - a scoped workflow, an unproven technical path, or an internal build that stalled because the team who started it got pulled back to the day job. If the harder question is what to build, you need an AI Product Squad with product management and design as well. h3. Should we hire our own AI engineers or engage forward-deployed engineers? Hiring your own works when you know what to build and can wait out the recruitment timeline. Forward-deployed engineers put senior capability in your team in weeks, with &above carrying the hiring risk and the management load - and because they build alongside your people, the capability stays in-house either way. Many clients do both: our engineers open up a capability, and their own hires then own it. h3. Is forward-deployed engineering only for AI platform companies? No. Model providers embed engineers to get you live on their platform, so those architectures reasonably favour that platform. &above does not sell a platform - our forward-deployed engineers architect for your constraints, and the stack is chosen to fit your organisation rather than one provider. h3. Which industries use forward-deployed engineers? Any industry where AI has to run against real systems and real data. We have embedded engineers in retail media at Tesco, in enterprise sales at Google Cloud, and across scale-ups and enterprises in finance, media and consumer technology. The model matters more than the sector - embedded delivery works wherever a handoff would fail. h3. How does an engagement with &above's forward-deployed engineers work? We agree the workflow and the team shape, then embed senior engineers directly in your team - usually within weeks, not months. They work at your pace, in your tools, with &above handling hiring, management and quality. Engagements start with engineers against a scoped workflow and expand into a full AI Product Squad once the scope proves out. h2. Ready to build in-house, without the burden? [LET'S CHAT](https://www.andabove.com/contact.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### AI Product Design Agency | &above Source: https://www.andabove.com/services/ai-product-design Description: AI product design agency in London - design embedded with AI engineering, shipped to production for Sage, Google Cloud & Tesco. From Revolut to agentic AI. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. AI product design Designed for trust. Shipped to production. An AI product design agency for scale-ups and enterprises: product design embedded with AI engineering in one team, so the experiences we design ship to production and get used daily - not archived as prototypes. h2. Trusted by ambitious teams to design AI products people use daily. - Google - YouTube - Revolut - Tesco - dataiku - Sage - choreograph - SMARTLY.IO h2. What we do What is AI product design? AI product design is the discipline of making probabilistic systems feel trustworthy and usable - designing for a product that is usually right, sometimes wrong, and always in need of an interface that helps people judge which is which. It covers agentic flows, model-in-the-loop prototypes, and the decision boundaries that keep a human in control. &above approaches it from an unusual position: a design-led product agency in London that ships production AI. Our design heritage runs through brand and product work for Revolut, Simplestream and Oxford Quantum Circuits; the same craft is now applied to AI products in daily production use - the Creative Intelligence Agent we defined and piloted with Sage, the sales tooling used every day by 5,000 Google Cloud sellers, and the compliance engine that cut Tesco's creative reviews from four weeks to days. The difference is where design sits. Our designers work embedded with AI engineers in one team - our AI Product Squads pair both with product management - so agentic flows are prototyped against real model behaviour rather than static mockups, and the experience ships as designed. Explore the full [AI consultancy & product development services](https://www.andabove.com/services.md) behind the squads, or see how the same embedded team delivers [automation, agents and AI software](https://www.andabove.com/services/ai-agency.md). Weighing up studios first? See our review of the [best AI product design agencies in London](https://www.andabove.com/feed/best-ai-product-design-agencies-in-london-2026.md), or read how we treat a design system as infrastructure rather than an inventory in [what Revolut's design system taught us about shipping fast](https://www.andabove.com/feed/what-revoluts-design-system-taught-us-about-shipping-fast.md). h2. Pillar showcase Design that survives contact with the model What AI product design covers at &above - the UX architecture of agentic systems, prototypes wired to real models, and design craft proven long before AI. h3. AI UX architecture Agentic flows, designed. We design the structure of agentic products - reasoning-aware paths, decision boundaries, and the moments where a human confirms, corrects or takes over - so the product earns trust when the model is wrong, not only when it is right. We defined & piloted a creative intelligence agent with Sage to drive ads ROI. [VIEW MORE](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md) h3. Model-in-the-loop prototyping Tested on real behaviour. Prototypes are wired to real model responses from the first sprint, so design decisions are tested against how the system actually behaves - latency, errors, confidence and all - before anything is committed to production. We design the AI products used daily by 5,000 Google Cloud sellers. [VIEW MORE](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Design heritage, applied to AI Craft proven before AI. Our designers built brand and product experiences for Revolut, Simplestream and Oxford Quantum Circuits before applying that craft to AI. The fundamentals - hierarchy, behaviour, trust - carry over; the systems they now shape are agentic. We helped launch Europe's fastest-growing tech brand with Revolut. [VIEW MORE](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. Our Work Our work AI product design for Sage, Google Cloud, Revolut, and other ambitious teams. h3. Sage ![Sage creative intelligence dashboard](https://www.andabove.com/content-media/work/home-sage-creative-intelligence.gen.webp) Creative intelligence, designed with Sage. A Creative Intelligence Agent defined and piloted with Sage - turning disparate ad data into creative decisions, designed for trust from the first model-in-the-loop prototype. [View case study](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md) h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Designed for 5,000 daily users. An agent system for Google Cloud - designed and built by one embedded squad, now part of the daily workflow for 5,000 sellers uncovering their next best opportunity. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Revolut ![Revolut product launch screens](https://www.andabove.com/content-media/work/home-revolut-card.gen.jpg) Design heritage: Revolut. Product and brand work that helped launch Europe's fastest-growing tech brand - the design depth we now bring to agentic AI products. [View case study](https://www.andabove.com/work/revolut/launching-europes-fastest-growing-tech-brand.md) h2. AI product design FAQs Straight answers for teams evaluating an AI product design agency. h3. What is AI product design? AI product design is the practice of designing products built on probabilistic systems - shaping agentic flows, trust signals, and human control so people can rely on a product that is sometimes wrong. It spans UX architecture, interface design, and prototyping against real model behaviour. h3. How is AI product design different from traditional UX design? A conventional app either works or it does not; an AI product gives answers that are usually right and sometimes wrong. That changes the design problem: you design for calibrated trust, graceful error recovery, visible reasoning and sources, and decision boundaries that keep a human in control of consequential actions. h3. How do you design for model errors and trust? By setting honest expectations of what the system can do, showing confidence and sources so users can calibrate their trust, designing recovery paths for the moments the model is wrong, and keeping a human clearly in control. We prototype against real model responses, so these behaviours are designed from observed failures rather than imagined ones. h3. Do you build the AI as well as design it? Yes - that is the core of the model. Designers and AI engineers work as one embedded squad, so the experience and the system are built together rather than reconciled after a handoff. It is why the products we design are in production: Sage's Creative Intelligence Agent, Google Cloud's seller tooling, and Tesco's compliance engine. h3. What data readiness do we need before AI product design starts? Less than most teams assume. Discovery and early design work with sample data, and model-in-the-loop prototypes surface data gaps early - which is far cheaper than finding them after a build. Design and data readiness progress together rather than one waiting on the other. h3. How should we compare AI product design agencies? Ask for production evidence, not portfolio shots - AI-washed portfolios are common. Check whether prototypes were wired to real models, whether designers sit in the same team as engineers, and whether the agency can point to shipped products with measurable outcomes and named clients. h3. Which industries do you design AI products for? Recent AI product design work spans retail media with Tesco, business software with Sage, and cloud sales with Google Cloud, on top of product and brand heritage in fintech with Revolut, streaming with Simplestream, and quantum computing with Oxford Quantum Circuits. h3. Where is your AI product design agency based? Our HQ is in Southwark, London - The Binary, 27 Copperfield Street, SE1 0EN. We work with clients across the UK and internationally, from scale-ups to global enterprises. h2. Have an AI product to design? [LET'S CHAT](https://www.andabove.com/contact.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Privacy policy | &above Source: https://www.andabove.com/privacy-policy Description: Privacy and Cookie Policy for RCCO Creative Ltd. Learn how we collect, use and protect your personal data in accordance with the Data Protection Act 2018. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Privacy and Cookie Policy *Last update: June 11th 2019.* This Privacy Policy sets out the data processing practices of RCCO Creative Ltd. Please note that all data thus captured will be used and held in accordance with the requirements of the Data Protection Act 2018. RCCO Creative Ltd is the data controller and if you have any requests concerning your personal data or any queries with regard to how we handle your data you can contact us by email [hello@andabove.com](mailto:hello@andabove.com) or write to us at RCCO Creative Ltd, 1st Floor, The Binary, 27 Copperfield St, London, SE1 0EN. h2. Purpose of processing your personal data | Activity | Purpose of processing | Lawful basis | | ------------------------------------------------ | ------------------------------------------------------------ | -------------------------------------------------------------- | | Completing an information request on the website | Provide you with information about our products and services | Legitimate interests | | Making an enquiry | Dealing with your enquiries or requests | Providing you with information about our products and services | | | | Contract | | | | Legitimate interests | **The legal bases on which we rely are:** Contract – processing is necessary for us to administer the pre-contract and contractual relationship between ourselves and our suppliers/customers/potential employees in connection with the performance of a contract. Legitimate interests are defined as commercial interests. h2. Marketing We would like to use your personal data to send you details of products or services that we offer that we have identified as likely to be of interest to you. We will only send you information in line with the preferences you indicated when you provided the personal data. If at any point you would like to opt-out of receiving communications from us, or would like to change the channels (such as email or post) that we use to contact you, please contact us at [hello@andabove.com](mailto:hello@andabove.com) h2. Retention periods We will keep your personal data in connection with the services/products you have bought for 5 years after the last purchase. We need to retain this data for our own accounting purposes and for legal and tax purposes. In terms of personal data we use for marketing, we will keep this data for as long as we are able to market to you and if you withdraw your consent or opt-out of marketing communications, we will keep your contact details only to ensure that we do not contact you again for marketing purposes. h2. Data subject's rights You have rights in respect of your personal data. We will need to confirm your identity before we can consider your request so, if you wish to exercise any of these rights, we will need a valid form of identification such as a passport or valid driving license. **The right to be informed** – you have the right to be told about the collection and use of the personal data you provide. This privacy policy sets out the purpose for which we process your personal data, how long we will keep your data, who we will share your data with. If you have any questions on how and why we process your data please contact the DPO. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-be-informed/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-be-informed/) **Right of access** – you have the right to know whether we are processing your personal data, and to a copy of that data. We would need as much information as possible to enable us to locate your data. We will respond to your request within 28 days of receipt of your request. If you want to exercise this right, please contact the DPO at the contact details above. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-of-access/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-of-access/) **Right to rectification** – you have the right to have any incorrect personal data corrected or completed if it is incomplete. You can make this request verbally or in writing. We will need as much information as possible to enable us to locate your data. We will look at any request and inform you of our decision within 28 days of receiving the request. If you want to exercise this right, please contact the DPO at the contact details above. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-rectification/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-rectification/) **Right to erasure** – this right, often referred to as the right to be forgotten allows you to ask us to erase personal data where there is no valid reason for us to keep it. We will look at any request and inform you of our decision within 28 days of receiving the request. If you want to exercise this right, please contact the DPO at the contact details above. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-erasure/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-erasure/) **Right to restrict processing** – you have the right to ask us to restrict processing of your data. We will look at any request and inform you of our decision within 28 days of receiving the request. If you want to exercise this right, please contact the DP at the contact details above. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-restrict-processing/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-restrict-processing/) **Right to data portability** – you have the right to move, copy or transfer your personal data from one IT environment to another. This right applies to data that you have provided to us and that we are processing on the legal basis of consent or in the performance of a contract and that processing is by automated means. We will respond to your request within 28 days of receipt of your request. If you want to exercise this right, please contact the DPO at the contact details above. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-data-portability/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-data-portability/) **Right to object** – you have the right to object to our processing of your personal data based on (i) legitimate interests, or for the performance of a task in the public interests/exercise of official authority (including profiling); (ii) direct marketing (including profiling); and (iii) for purposes of scientific/historical research and statistics. 1. Legitimate interests/legal task – your objection should be based on your particular situation. We can continue to process the data if we can demonstrate compelling legitimate grounds which override your interests. 2. Direct marketing – you have an absolute right to ask us to stop processing for the purposes of direct marketing. We will action your request as soon as possible. 3. Scientific/historical research and statistics – your objection should be based on your particular situation. If we are conducting research where the processing is necessary for the performance of a public task, we can refuse to comply with your objection. If you want to exercise this right, please contact the DPO at the contact details above. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-object/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/right-to-object/) **Rights relating to automated decision making including profiling** – you have the right in respect of automated decision making, including profiling. Where we carry out solely automated decision making, including profiling, which has legal or similarly significant effects on you, we can only do this if it is in connection with a contract with you, we have a right under law or you have provided your explicit consent. We will tell you if this happens and tell you how you can request human intervention or challenge the decision. If you want to exercise this right, please contact the DPO at the contact details above. If you want to know more about this right, the ICO has more guidance on their website: [https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/rights-related-to-automated-decision-making-including-profiling/](https://ico.org.uk/for-organisations/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/rights-related-to-automated-decision-making-including-profiling/) h2. Processing based on consent Where we process your personal data based on your consent you have the right to withdraw that consent at any time without reason. You can opt-out by using the unsubscribe/opt-out in any marketing we send you and you can contact the DPO at the contact details above. h2. The right to lodge a complaint to the supervisory authority If you are unhappy with any aspect of our handling of your data you can make a complaint to the Information Commissioner's Office – [https://ico.org.uk/concerns/](https://ico.org.uk/concerns/) h2. Statutory/contractual requirement to provide personal data. The personal data that you provide to us is necessary for us to carry out the contract you have entered into with us or for us to perform our obligations under Statute. We use this information for providing logins to our service and to keep in touch regarding campaign activity and performance. h2. Cookies. A cookie is a small piece of information sent by a web server to a web browser, which enables the server to collect information from the browser. Find out more about cookies on [http://www.allaboutcookies.org/](http://www.allaboutcookies.org/) We use cookies to identify you when you visit this website and to keep track of your browsing patterns and build up a demographic profile. Our use of cookies also allows registered users to be presented with a personalised version of the site, carry out transactions and have access to information about their account. Most browsers will allow you to turn off cookies. If you want to know how to do this please look at the menu on your browser, or look at the instruction on [http://www.allaboutcookies.org/](http://www.allaboutcookies.org/) Please note however that turning off cookies will restrict your use of our website. h2. Cookies we use | Cookie | What it does | How to disable and consequences | | ---------------- | ------------------------------------------------------------------------------------------- | ------------------------------- | | Fathom Analytics | Collects anonymous page view information to help us improve the site. Does not use cookies. | Leave website | h2. Third party websites. Our website may contain links to other websites that are outside our control and are not covered by this Privacy Policy. If you access other sites using the links provided, the operators of these sites may collect information from you that will be used by them in accordance with their privacy policy, which may differ from ours. h2. Changes to the privacy policy. This privacy policy is regularly reviewed and will be updated when necessary. If we make any significant changes to the policy we will communicate these to you. --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Terms | &above Source: https://www.andabove.com/terms Description: Terms and conditions between the Client and RCCO Creative Ltd t/a &above for the provision of services. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Terms & Conditions These terms and conditions are between the client identified in the Scope of Work (the **“Client”**) and RCCO Creative Ltd t/a &above (**“&above”**). By requesting any services from &above in any way, the Client agrees to be bound by these terms and conditions. h2. 1. Definitions and interpretation 1.1 The following definitions shall apply: **Agreement** means these terms and conditions (and any documents attached hereto or expressly incorporated by reference) together with the relevant Scope of Work signed by &above and the Client; **Authorised Contact** means the authorised representative appointed by each of the Client and &above as their respective project managers, whose details are set out in the SOW, or as otherwise notified to the other party in writing from time to time, which contact is responsible for the day to day management of the Services (and receipt thereof) and who is authorised to sign SOWs and approve any Change; **Application(s)** means the web and/or mobile application(s) identified as such in the SOW (if any); **Background Materials** means the Bribery Act 2010 and all other applicable UK legislation, statutory instruments and regulations in relation to bribery or corruption; **Background Materials** means any Content, methodology, know-how and/or processes which are: (i) in existence prior to the date on which it is intended to use them for a Project; or (ii) created by or for &above independently of a Project and which are intended to be reused across its business; **Business Day** means between the hours of 9am to 5.30pm on a day, other than a Saturday, Sunday or public holiday; **Change** means any change, amendment or alteration to the Scope of Work or Deliverables; **Client Content** means any Content, materials and/or assets provided or made available (directly or indirectly) by the Client to be incorporated into or otherwise used in connection with the Services; **Commencement Date** means the earlier of the date of signature of this Agreement or commencement of any Services; **Confidential Information** means any and all information of a confidential or commercially sensitive nature (whether in oral, written or electronic form) including technical or other information imparted in confidence or disclosed by one party to the other or otherwise obtained by one party relating to the other’s business, finances, technology, know-how, intellectual property, assets, strategy, products, personnel and/or clients; **Content** means any and all text, graphics, documents, copy, designs, videos, images, sound, data, and other materials (but excluding Websites and Application(s)); **Deliverables** means the Content and other materials which are to be provided by &above as set out in a SOW; **Fees** means the fees payable as set out in the applicable SOW and any and all other amounts payable by the Client under this Agreement; **Force Majeure** means an event beyond a party’s reasonable control (which could not reasonably have been anticipated and avoided by a party) preventing or delaying it from performing its obligations hereunder, including war, revolution, terrorism, riot or civil commotion; strikes, lock outs or other industrial action; blockage or embargo; acts of or restrictions imposed by government or public authority; explosion, fire; flood, natural disaster, or adverse weather conditions; epidemic, pandemic or similar health crises; **Project** means the project set out in the SOW; **Project Plan** means the outline timetable and sequence of events (if any) as set out in the SOW, as updated from time to time by written agreement of the parties; **Services** means the strategy, content, design, development, editing, and/or animation services and any other services as set out in the SOW; **Fees** means the fees payable and other amounts payable under this Agreement for the Services, as set out in the Service Description Document; **Scope of Work or SOW** means the scope of work document provided by &above and signed by the Authorised Contact (or other authorised representative) of each party; **Third Party Content** means any Content of or created by a third party; **VAT** means value added tax, and any other tax imposed in substitution for it; **Website** means the website identified as ‘the Website’ in the SOW (if any). 1.2 Clause, Schedule and paragraph headings shall not affect the interpretation of this Agreement. 1.3 Each Scope of Work (and any Schedules and Annexes thereto) forms part of this Agreement and shall have effect as if set out in full in the body of this Agreement. In the event of any conflict, unless otherwise stated herein, the Scope of Work shall take priority, followed by: 1. the Data Processing Addendum at [https://www.andabove.com/data-protection](https://www.andabove.com/data-protection.md); 2. these terms and conditions; and 3. the terms of the Project email /Brief as approved by &above in writing. If there is any inconsistency between the terms of two Project emails/briefs, the terms of the later Project email/brief approved by &above will prevail. 1.4 A reference to writing or written includes email unless stated otherwise. 1.5 Any words following the terms “including”, “include”, “in particular”, “for example” or any similar expression shall be construed as illustrative and shall not limit the sense of the words, description, definition, phrase or term preceding those terms h2. 2. The Services 2..1 &above agrees to provide the Services in connection with the Project with reasonable care and skill and in accordance with the relevant SOW, subject to and in accordance with the terms of this Agreement. 2.2 Where the Deliverables include a Website or Application(s), &above shall use reasonable endeavours to ensure that such Deliverables do not contain any viruses or other harmful or intrusive programs or code upon delivery. 2.3 Notwithstanding any provision of a SOW, any dates for performance of the Services or delivery dates in respect of any Deliverables, whether set out in the Project Plan or otherwise, shall be estimates only and time for performance shall not be of the essence. 2.4 The Services shall not include any services not expressly set out in the applicable SOW. 2.5 In respect of Deliverables which comprise Content, &above shall provide to the Client an initial draft of such Deliverables for the Client to review. &above shall provide up to two rounds of revisions of such Deliverables in line with the Client’s reasonable feedback. If the Client does not approve such revised Deliverables, any further revisions shall be subject to additional Fees to be agreed between the parties in writing. h2. 3. Client obligations 3.1 The Client shall: 1. co-operate in good faith with &above in all matters relating to the Services; 2. procure for &above, its agents, subcontractors, consultants and personnel, in a timely manner and at no charge, access to any locations, personnel, servers and/or networks as reasonably required by &above in the provision of the Services, including any such access as specified in a SOW; 3. provide to &above in a timely manner all data, documents, information, items and materials in any form required pursuant to a SOW or otherwise reasonably required by &above in connection with the Services and ensure that all such materials are complete and accurate; 4. respond to the reasonable requests of &above in a timely manner and promptly provide any required consent, approval or decision as requested by &above for the provision of the Services; 5. where any personnel, contractors or agents of &above are to attend any premises of the Client and/or its affiliates in the provision of the Services, inform &above in writing of all applicable health and safety and security requirements no less than 7 days before the commencement of the Services at such premises (and the Client shall be responsible for the health and safety of &above personnel, contractors and agents whilst at such premises); 6. be responsible for obtaining and maintaining all relevant licences, permissions and consents and comply with all relevant legislation as required to enable &above to provide the Services. 3.2 &above shall not be liable for any delay in the performance of or failure to perform its obligations under this Agreement or any SOW to the extent caused by any delay, act or omission of the Client, its affiliates or in each case their agents, subcontractors, consultants or personnel. h2. 4. Websites and Applications 4.1 Where the Services include the creation of a Website or Application, the Client shall be provided a staging link for the Client to test the Website and/or the Application in a live environment for a period of 5 Business Days (the **“Sprint Period”**). The commencement date of the Sprint Period shall be agreed between the parties (each acting reasonably). 4.2 During the Sprint Period, the Client shall test and review the Website and/or Application(s) and &above shall use reasonable endeavours to remedy: 1. functional defects that restrict the user from successfully completing the core user journeys outlined in the UX phase agreed between the parties (for example, if a user cannot submit a form or access a page); and 2. security defects that compromise the security and integrity of the Website and/or Application (for example, where a package dependency needs to be updated or where or users have incorrect access to areas of the Application), that are identified and logged by the Client in the feedback tool made available by &above during the Sprint Period (each, a **“Non-Conformity”**). 4.3 For the avoidance of doubt, &above shall not be responsible for (or required to remedy) any Non-Conformity or other issue caused by the Client and/or its networks or servers. 4.4 Any feedback or requests from the Client that are not a Non-Conformity shall be a Change and subject to additional Fees. 4.5 If &above is not reasonably able to remedy a material Non-Conformity within the Sprint Period, &above may, at its option: 1. provide to the Client a fair and reasonable pro-rata discount from the Fees taking into account the nature of the relevant Non-Conformity and impact on the functionality of the relevant Website and/or Application; or 2. attempt to remedy such outstanding Non-Conformity at its cost after the end of the Sprint Period. 4.6 The Client shall promptly provide written confirmation of its acceptance of the Website and/or Application at the request of &above. The Client shall not unreasonably delay its acceptance of the Website and/or Application. 4.7 The Client’s acceptance of the Website and/or Application shall occur at the earliest of: 1. the Client providing written acceptance to &above; 2. there being no further outstanding Non-Conformities at the end of the Sprint Period; 3. the Website and/or Application being used in a live environment or in commercial use for 30 days or more; and 4. expiry of the Sprint Period where the Client has failed to log any Non-Conformities, unless such failure is due to an act or default of &above. 4.8 The Client’s rights and remedies under this clause 4 shall be &above’s sole liability in respect of any non-conformities relating to any Website and/or Application. h2. 5. Change control 5.1 All Changes to the Project or Scope of Work must be agreed by the Authorised Contacts in writing. 5.2 The Client acknowledges and agrees that a Change may result in additional Fees. 5.3 &above shall have no obligations in respect of any Change unless and until expressly confirmed by its Authorised Contact in writing. h2. 6. Fees and payment 6.1 In consideration of the provision of the Services, the Client shall pay the Fees and expenses in pounds sterling in accordance with this clause 6. 6.2 In respect of any Fees calculated on a time and materials basis: 1. the daily fee rates set out in &above’s then current rate card shall apply and are calculated on the basis of a seven-hour day, worked during between 09.00 and 17.00; 2. &above reserves the right to charge overtime; and 3. &above shall maintain records relating to the time incurred and allow the Client to inspect such records within 7 days of request. 6.3 The Fees are exclusive of expenses, which shall be payable by the Client within 7 days of &above’s submission of an invoice therefore including: 1. the cost of hotel, travelling and any other ancillary expenses reasonably incurred by &above and/or its personnel, officers, contractors and agents in connection with the Services; 2. reasonable subsistence costs where any personnel, officers, contractors or agents of &above are involved in the provision of the Services after 8pm (as determined by the location of the relevant personnel, officers, contractors or agents); 3. the cost to &above of any materials, software or services procured by &above from third parties on behalf of the Client, and 6.4 &above shall request the Client’s prior written approval of any individual item of expense which exceeds £100\. The Client acknowledges and agrees that &above may suspend the provision of the relevant Services until receipt of Client’s approval. 6.5 &above may increase its charges on an annual basis. Any such increase shall apply with effect from 30 days of the date of &above’s written notice thereof, save that such increase shall not affect the cost of any Services to be provided on a fixed cost basis as set out in a SOW. 6.6 All amounts due under this Agreement are exclusive of VAT (where applicable), sales or other tax applicable which shall be paid in addition by the Client at the rate and in the manner for the time being prescribed by law. 6.7 &above shall issue its invoices in accordance with the payment schedule set out in the SOW. If no payment schedule is set out in the SOW, &above may invoice the Client the Fees in full in advance. 6.8 The Client shall pay each of &above’s invoices in full within 30 days from the date of invoice or on the due date for payment specified in the SOW, if earlier. 6.8 The Client shall pay all amounts payable to &above under this Agreement into the bank account stipulated in the SOW by electronic funds transfer, unless otherwise notified by &above to the Client in writing in accordance with this Agreement. 6.9 The Client shall make all payments in full without any deduction, withholding or set off. If the Client is required by applicable law to deduct any amount from any payment to &above, the Client will increase the amount payable as necessary so that, after making all required deductions and withholdings, &above receives and retains (free from any liability for taxes) an amount equal to the amount it would have received had no such deductions or withholdings been made. The Client will provide proof of withholding tax remittance to the respective tax authority at the request of &above. 6.10 Where any sums due hereunder are not paid by the Client in full by the due date, &above may, without limiting any of its other rights or remedies: 1. charge interest on such sums from the due date until payment of the overdue sum, whether before or after judgement, at a rate of 4% above the base rate of Barclays Bank plc; 2. suspend all or part of the Services until payment has been received in full; and 3. withhold the release of any Deliverables. h2. 7. Warranties 7.1 &above warrants and represents to the Client that: 1. it has the right, power and authority to enter into this Agreement and perform the Services; 2. the Deliverables (excluding any Client Content or Third Party Content incorporated therein) do not contain Content which is fraudulent, defamatory, libellous, threatening or harassing, obscene, indecent or pornographic or otherwise contrary to applicable law. 7.2 The Client warrants and represents to &above that: 1. it has the right, power and authority to enter into this Agreement and grant to &above the rights contemplated in this Agreement, and to receive the Services; 2. it has all rights and licences to provide the Client Content and for &above to use such Client Content in the provision of the Services and to grant all necessary licences to &above to develop the Services and provide the Deliverables incorporating or derived from such Client Content; 3. Client Content shall: 4. be, to the best of the Client’s knowledge and belief, true, complete and accurate and comply with all applicable laws and codes of practice (including in respect of data protection and advertising standards); 5. not be fraudulent, defamatory, libellous, threatening or harassing, obscene, indecent or pornographic or otherwise contrary to applicable law; 6. not, and &above’s use thereof in accordance with this Agreement shall not, infringe the Intellectual Property Rights of any third party; or 7. not contain any viruses or other harmful or intrusive programs or other code. 7.3 Save as expressly set out in this Agreement, all warranties, conditions, terms, undertakings and obligations implied by statute, common law, custom, trade usage, course of dealing or otherwise are hereby excluded to the fullest extent permitted by law, including any condition of satisfactory quality or fitness for a particular purpose. 7.4 Any warranties given by &above shall be subject to the Client using the Services and Deliverables in compliance with this Agreement and any documentation supplied with it. h2. 8. Intellectual Property Rights 8.1 As between the parties, the Client shall remain the owner of all Client Content. The Client grants to &above a non-exclusive, royalty free licence to use the Client Content in connection with the provision of the Services. 8.2 Subject to the Client’s payment of all Fees in accordance with this Agreement and clause 8.3, &above shall assign to the Client the Intellectual Property Rights in the Deliverables, but excluding any Background Materials or Third Party Content therein. 8.3 The assignment of Deliverables shall not include an assignment of (or any other rights to use) any raw footage created in connection with the Services. Such assignment or grant of rights shall be subject to the Client’s payment of additional Fees, as stated in the SOW. 8.4 Any Third Party Content provided to the Client shall remain the property of the relevant third party and, subject to the Client’s compliance with the terms of this Agreement including payment of all Fees, &above grants to the Client a non-exclusive, non-transferrable, royalty-free licence to use such Third Party Content for the purposes and for the duration set out in the SOW save that such licence to Third Party Content shall: 1. in the case of software, be a licence of object code only unless otherwise expressly provided; 2. be on such terms as &above may grant in accordance with the terms between &above and the Third Party Content licensor; and 3. be to the extent and for the purpose only of using and receiving the benefit of the relevant Deliverables and subject to any additional limitations as may be notified by the Client in writing prior to incorporation in the relevant Deliverables. 8.5 The Client acknowledges that all Intellectual Property Rights in the Background Materials shall be owned by and remain the property of and vested in &above. Subject to &above receiving payment of all Fees attributable to the Background Materials licensed under this clause, the Agency hereby grants to the Client a licence to use such Background Materials as are included in the Deliverables for the purposes of the Project or as otherwise set out in the SOW (and subject to any restrictions set out in the SOW). 8.6 The Client shall indemnify and keep indemnified, and hold harmless, &above against all claims, losses damages, costs and expenses (including reasonable legal and professional costs and expenses) incurred by &above arising out of or in connection with any action, demand or claim that use or possession of any Client Content in accordance with this Agreement infringes the Intellectual Property Rights of any third party. 8.7 &above shall indemnify and keep indemnified, and hold harmless, the Client against all claims, losses, damages, costs and expenses (including reasonable legal and professional costs and expenses) incurred by the Client as a result of or in connection with any action, demand or claim that use of the Deliverables (excluding any Client Content or Third Party Content therein) in accordance with this Agreement and for the purposes set out in the SOW infringes the Intellectual Property Rights of any third party. 8.8 Where one party (the **“Indemnifying Party”**) agrees to indemnify the other party (the **“Indemnified Party”**) under this clause 8, such indemnity is subject to the Indemnified Party complying with the following process in the event that a third party claim arises: 1. the Indemnified Party must promptly notify the Indemnifying Party in writing of such claim; 2. the Indemnified Party must not make any admission of liability, settlement or compromise without the prior written consent of the Indemnifying Party; 3. the Indemnified Party must give the Indemnifying Party express authority to conduct all negotiations and litigation and to defend and/or settle all litigation arising from such claim, provided that the Indemnifying Party regularly consults the Indemnified Party on the conduct and defence of the claim; and 4. the Indemnified Party must provide the Indemnifying Party with all available information and assistance in relation to such claim as the Indemnifying Party may reasonably require at the Indemnifying Party’s cost and expense. 8.9 &above shall not be liable under or in connection with this Agreement for any modifications, adaptations or amendments to any Deliverables made by the Client or by a third party on the Client’s behalf, nor in the event that any fault, error, destruction or other degradation in the Deliverables, save as expressly set out in this Agreement. 8.10 Notwithstanding any provision of this clause 8, &above shall retain all know-how obtained in connection with the Services and shall be free to use such know-how without restriction. 8.11 The terms of and obligations of this clause 8 shall survive the termination of this Agreement for any reason. h2. 9. Limits on liability 9.1 The Client acknowledges that &above is not liable for any loss or damage incurred by the Client to the extent that this results from any delay by the Client (or persons acting on behalf of the Client) or any failure by the Client (or persons acting on behalf of the Client) to discharge its obligations under this Agreement. 9.2 Subject to the remainder of this clause 9, in no event shall the aggregate liability of any party (whether in contract, tort (including negligence) or otherwise) and in respect of all claims, losses and damages arising under or in connection with this Agreement exceed: 1. £1 million solely in respect of liability pursuant to clause 8; and 2. the total Fees payable under the relevant SOW in all other cases. 9.3 Subject to clause 9.4, neither party shall be liable under or in connection with this Agreement for any loss of profit, business opportunity, goodwill, data, anticipated savings or any special, indirect or consequential loss or damage whatsoever, even if such loss or damage is foreseeable. This clause 9.3 shall not limit or exclude the Client’s liability in respect of payment of any Fees due. 9.4 Neither party excludes or limits any liability for: 1. personal injury (including sickness and death) due to its negligence; or 2. fraud or fraudulent misrepresentation; or 3. any other liability to the extent the same cannot be excluded or limited by law. h2. 10. Insurance For the duration of this Agreement, &above will maintain appropriate insurance cover with a reputable insurance company and will provide to the Client upon request suitable evidence of insurance cover.**‍** h2. 11. Term and Termination 11.1 This Agreement shall commence on the Commencement Date and continue until terminated in accordance with this clause 11. 11.2 Without prejudice to any other rights that it may have, &above may terminate this Agreement immediately on written notice if the Client has failed to pay any amount under this Agreement on the due date for payment and such amount remains unpaid ten Business Days after the Client has received a written notification from &above that the payment is overdue. 11.3 Either party may, without prejudice to its other rights and remedies, by notice in writing to the other party immediately terminate this Agreement if the other party: 1. is in material or persistent breach of any of its obligations under this Agreement and such breach is not remediable or, if that breach is capable of remedy, the other party has failed to remedy that breach within 30 days of receiving written notice requiring it to remedy that breach; 2. is unable to pay its debts (within the meaning of section 123 of the Insolvency Act 1986 (IA 1986)) or becomes subject to a moratorium under IA 1986, Pt A1 or becomes insolvent or an order is made or a resolution passed for the administration, winding-up or dissolution of the other (otherwise than for the purposes of a solvent amalgamation or reconstruction) or an administrative or other receiver, manager, liquidator, administrator, trustee or similar officer is appointed over all or any substantial part of the assets of the other or the other enters into or proposes any composition or arrangement with its creditors generally or becomes subject to a restructuring plan under Part 26A of the Companies Act 2006 (CA 2006) or a scheme of arrangement under CA 2006, Pt 26 or any analogous event occurs in any applicable jurisdiction. 11.4 Either party may terminate a SOW on giving no less than 90 days prior written notice to the other party. 11.5 If the Client terminates a SOW pursuant to clause 11.4, it shall (notwithstanding such termination) pay to &above 50% of all remaining Fees payable pursuant to such SOW from the date of termination until the intended expiry date of such SOW immediately upon receipt of &above’s invoice therefore (in addition to continuing to pay all Fees when due during the notice period). 11.6 Upon expiry or termination of all SOWs, either party may terminate this Agreement on giving no less than 30 days’ written notice to the other party. 11.7 In the event of termination of this Agreement for any reason: 3. the Client shall immediately pay all outstanding invoices of &above; 4. &above shall promptly invoice the Client for all Services performed and Deliverables supplied but not yet invoiced and for any Fees payable by the Client pursuant to clause 11.5 and payment for such invoices shall be due immediately on receipt by the Client; and 5. All SOWs shall automatically terminate forthwith. 11.8 Each party shall promptly return or, at the other party’s option, destroy all the other party’s Confidential Information in its possession or under its control and all copies of such information. 11.9 The accrued rights and liabilities of the parties (including any rights in relation to breaches of contract) shall not be affected. 11.10 Any provision of this Agreement that either expressly or impliedly survives the expiry termination of this Agreement shall remain in full force and effect. h2. 12. Personnel 12.1 All personnel of &above shall at all times remain the employees or subcontractors of &above (or of &above’s sub-contractor(s)) and shall at all times remain under the overall control of &above. The Client acknowledges and agrees that &above’s personnel are not employees or subcontractors of the Client, nor shall anything in this Agreement deem them employees of the Client. 12.2 The Client acknowledges and agrees that any persons named in a SOW shall be indicative only and that &above shall at all times have the right to substitute any person with another person of appropriate seniority and experience. 12.3 The Client acknowledges and agrees that all persons engaged in the provision of the Services shall use equipment (including laptops and telephones) provided by &above unless otherwise approved by &above in writing. 12.4 Where any personnel involved in the provision of the Services provide such Services from any premises of the Client, the Client acknowledges and agrees that: 1. such personnel shall be permitted to undertake such meetings, training and staff events as designated by &above from time to time; and 2. any holiday or absence requests shall be granted by &above at its sole discretion without reference to the Client. 12.5 Throughout the term of this Agreement and for a period of 12 months after its termination or expiry, the Client shall not (except with the prior written approval of &above) directly or indirectly approach, solicit or entice away (or attempt to approach, solicit or entice away) from &above or employ or engage or attempt to employ or engage or otherwise deal with any person who is, or has been, employed or engaged by &above and materially involved in the provision of any Services or Deliverables, other than by means of a national advertising campaign open to all comers and not specifically targeted at any of the personnel of &above. 12.6 If the Client, directly or indirectly, employs or engages any person in breach of clause 12.5, the Client agrees to pay &above an amount equal to: 3. in respect of employees, the most recent annual salary payable to such person by &above; and 4. in respect of subcontractors, the aggregate fees paid to such subcontractor by &above in the 12 months prior to the Client entering into an arrangement with such subcontractor, and the Client acknowledges and agrees that such payment is a reasonable pre-estimate of &above’s losses and shall be payable immediately upon employment or engagement of the relevant person. h2. 13. Force Majeure 13.1 A party will not be liable if delayed in or prevented from performing its obligations hereunder due to Force Majeure, and the affected party will promptly notify the other of the Force Majeure event and its expected duration. 12.2 If, due to Force Majeure, a party is unable to perform a material obligation, or is delayed in or prevented from performing its obligations for a continuous period of more than 90 days, either party may, terminate this Agreement on giving no less than 30 days’ notice. h2. 14. Data Protection Each Party shall comply with its respective obligations, and may exercise its respective rights and remedies, pursuant to the Data Protection Addendum at [https://www.andabove.com/data-protection](https://www.andabove.com/data-protection.md). h2. 15. Marketing and Promotion. 15.1 Save as otherwise expressly provided for in a SOW, the Client hereby grants to &above a non-exclusive, royalty free licence to use: 1. any Deliverables which have been broadcast, published, distributed or otherwise made available to the public; and 2. the Client’s name(s) and logo(s), for the purposes of &above promoting its work and its business including on the &above website and social media pages, in credentials pitches and in its showreel. Any other use by &above shall be subject to the Client’s prior approval (not to be unreasonably withheld or delayed); and 15.2 If the Services include the development of a Website and/or Application, the Client shall permit &above to include a credit-mark (not to exceed 16px) on the footer of the Website stating “Made by &above”. The parties agree that the Client can opt against the credit-mark with the payment to &above of the higher of (i) 10% of the total Fees due for the relevant Website or Application; or (ii) £2,500 for each Website or Application. 15.2 &above requests that the Client provides a written Clutch.co review upon successful completion of the Project. 16\. **Confidential Information** 16.1 Each party shall maintain the confidentiality of the other party’s Confidential Information and shall not without the prior written consent of the other use, disclose, copy or modify the other party’s Confidential Information (or permit others to do so) other than as necessary for the exercise of its rights and performance of its obligations under this Agreement. 16.2 Each party undertakes to disclose the other party’s Confidential Information only to those of its officers, personnel, agents and contractors to whom and to the extent to which such disclosure is necessary for the purposes contemplated under this Agreement; and procure that such persons are subject to appropriate obligations of confidentiality. 16.3 The provisions of this clause shall not apply to information which: 16.3 is or comes into the public domain through no fault of the recipient, its officers, personnel, agents or contractors; 1. is lawfully received by the recipient from a third party free of any obligation of confidence at the time of its disclosure; 2. is independently developed by the recipient, without access to or use of such Confidential Information; or 3. is required by law, by court or governmental or regulatory order to be disclosed provided that the relevant party, where possible, notifies the other party at the earliest opportunity before making any disclosure. 16.4 The obligations under this clause shall survive the expiry or termination of this Agreement for a period of three years thereafter. h2. 17. Anti-bribery 17.1 Each party shall comply with all applicable bribery laws relating to prevention of bribery and corruption, and each shall use all reasonable endeavours to ensure that: 1. all of that party’s personnel; 2. all of that party’s subcontractors; and all others associated with that party, involved in performing services for or on behalf of that party or otherwise involved with this Agreement so comply. 17.2 Without limitation to the foregoing: 1. neither party shall (directly or indirectly) offer or give or request, agree to receive or accept any bribe, other improper payment or advantage or bribe any UK or foreign public official in breach of applicable bribery laws; and 2. each party shall implement, maintain and enforce adequate procedures designed to prevent persons associated with that party engaging in conduct which contravenes the Bribery Act 2010. 17.3 Each party shall immediately notify the other as soon as it becomes aware of a breach or possible breach of any of the requirements in the foregoing subclauses. 17.4 The expressions ‘adequate procedures’, ‘associated with’ and ‘foreign public official’ shall be construed in accordance with the Bribery Act 2010and associated guidance published under that Act. h2. 18. Notices 18.1 Any notice or other communication given by a party under this Agreement shall be in writing. Notices may be given, and are deemed received by hand, on receipt of a signature at the time of delivery; by Royal Mail Recorded Signed For post, at 9.00 am on the second Business Day after posting; by Royal Mail International Tracked & Signed OR Royal Mail International Signed post, at 9.00 am on the fourth Business Day after posting; and by email, on the Business Day after sending to the correct address. 18.2 Notices and other communications shall be sent to the Authorised Contact details contained in the SOW. Any change to the contact details of a party shall be notified to the other party in accordance with clause 18.1. h2. 19. Dispute resolution If there is a dispute between the parties in relation to any matter under this Agreement, the parties’ respective Authorised Contacts shall meet to try to resolve any such dispute and if they fail to do so with a reasonable time the matter in dispute shall be referred to a senior manager of &above and the Client respectively, for them to try to resolve the matter in dispute, each acting reasonably and in good faith. h2. 20. General 20.1 This Agreement contains the whole agreement between the parties relating to its subject matter and supersedes any prior agreements, representations or understandings between them unless expressly incorporated by reference in this Agreement. Each party acknowledges that it has not relied on, and shall have no remedy in respect of, any representation (whether innocent or negligent) made but not expressly embodied in this Agreement. Nothing in this clause limits or excludes any liability for fraud or fraudulent misrepresentation. 20.2 Each party is responsible for its legal and other costs in relation to the preparation and performance of this Agreement. 20.3 The parties are independent businesses and not partners, principal and agent, or employer and employee, or in any other relationship of trust to each other. 20.4 This Agreement does not give rise to any rights under the Contracts (Rights of Third Parties) Act 1999 to enforce any term of this Agreement. 20.5 The Agreement is personal to the Client and the Client shall not assign, sub-contract, transfer, mortgage, charge, declare a trust of or deal in any other manner with any or all of its rights under this Agreement, in whole or in part, without &above’s prior written consent. 20.6 Subject to clause 5 in respect of Changes, no amendment or variation of this Agreement will be valid unless agreed in writing and signed by an authorised signatory of each party. 20.7 If any clause in this Agreement (or part thereof) is or becomes illegal, invalid or unenforceable under applicable law, but would be legal, valid and enforceable if the clause or some part of it was deleted or modified (or the duration of the relevant clause reduced), the relevant clause (or part thereof) will apply with such deletion or modification as may be required to make it legal, valid and enforceable, and the parties will promptly and in good faith seek to negotiate a replacement provision consistent with the original intent of this Agreement as soon as possible. 20.8 Unless otherwise expressly agreed, no delay, act or omission by either party in exercising any right or remedy will be deemed a waiver of that, or any other, right or remedy. 20.9 This Agreement is governed by the law of England and Wales. All disputes under this Agreement not otherwise resolved by the parties in accordance with the process set out in clause 24 (Dispute resolution) shall be subject to the exclusive jurisdiction of the courts of England and Wales. --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Careers | &above Source: https://www.andabove.com/careers Description: Join the team at &above and help enterprise organisations discover, build and embed AI. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h2. Join us We work with some of the world's most influential technology companies, helping them turn ambitious ideas into products people actually use. Working here means real ownership. You'll work directly with clients, shape decisions, and see the impact of your work. We're a team of strategists, designers, engineers, and AI specialists working side by side. Different disciplines, shared goals. We communicate openly, feedback flows both ways, and good ideas can come from anywhere. The work moves quickly because the technology moves quickly. There's a lot to build, plenty to learn, and real opportunities to make your mark. We're based in Borough, in a studio worth the commute, surrounded by people you'll genuinely enjoy working with. h3. Product Designer Full-time · London, UK · Product h3. Engineer (Full-stack, React / TypeScript) Full-time · London, UK · Product h3. Product Manager Full-time · London, UK · Product h3. Finance Manager / Senior Finance Assistant Full or part-time · London, UK · Operations h2. Want to join, but don't see your role listed? We hire for curiosity as much as craft. The people who thrive here ask better questions, challenge assumptions, and care about the why as much as the what. You'll be building at the intersection of AI, product, and design, solving problems that matter alongside people who care deeply about the work. --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Data protection | &above Source: https://www.andabove.com/data-protection Description: Schedule One - Data Protection Addendum between RCCO Creative Ltd t/a &above and its clients. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Data protection This Schedule forms part of the Agreement between the Client and RCCO Creative Ltd t/a &above (**"&above"** or the **"Company"**) as referred to in the [Terms & Conditions](https://www.andabove.com/terms.md). For queries, contact [hello@andabove.com](mailto:hello@andabove.com) or write to RCCO Creative Ltd, 1st Floor, The Binary, 27 Copperfield St, London, SE1 0EN. h2. SCHEDULE ONE - DATA PROTECTION ADDENDUM h2. 1. Definitions 1.1 In this Schedule: **applicable law** means applicable law of the United Kingdom (or of a part of the United Kingdom); **Controller** has the meaning given in applicable Data Protection Laws from time to time; **Data Protection Laws** means all applicable law relating to the processing, privacy and/or use of Personal Data, as applicable to either Party or the Services, including: a) the GDPR; b) the Data Protection Act 2018; c) any laws which implement any such laws; d) any laws that replace, extend, re-enact, consolidate or amend any of the foregoing; and e) all guidance, guidelines and codes of practice issued by any relevant Data Protection Supervisory Authority relating to such Data Protection Laws (in each case whether or not legally binding); **Data Protection Supervisory Authority** means any regulator, authority or body responsible for administering Data Protection Laws; **Data Subject** has the meaning given in applicable Data Protection Laws from time to time; **GDPR** means the General Data Protection Regulation, Regulation (EU) 2016/679, as it forms part of domestic law in the United Kingdom by virtue of section 3 of the European Union (Withdrawal) Act 2018 (including as further amended or modified by the laws of the United Kingdom or of a part of the United Kingdom from time to time); **International Organisation** has the meaning given in applicable Data Protection Laws from time to time; **Personal Data** has the meaning given in applicable Data Protection Laws from time to time; **Personal Data Breach** has the meaning given in applicable Data Protection Laws from time to time; **Processing** has the meaning given in applicable Data Protection Laws from time to time (and related expressions, including process, processed, and processes shall be construed accordingly); **Processor** has the meaning given in applicable Data Protection Laws from time to time; **Protected Data** means Personal Data received from or on behalf of the Parties by the other Party, or otherwise obtained in connection with the performance of the obligations under this Agreement; and **Sub-Processor** means any agent, sub-contractor or other third Party engaged by the Company (or by any other Sub-Processor) for carrying out any processing activities in respect of the Protected Data. 1.2 Unless otherwise expressly stated in this Agreement the Company's obligations and the Client's rights and remedies under this Schedule are cumulative with, and additional to, any other provisions of this Agreement. h2. 2. Compliance with Data Protection Laws The parties agree that the Client is a Controller and that the Company is a Processor for the purposes of processing Protected Data pursuant to this Agreement. Each Party shall, and shall ensure its Sub-Processors and each of the Company Personnel shall, at all times comply with all Data Protection Laws in connection with the processing of Protected Data and the provision of the Services. Nothing in this Agreement relieves any of the Parties of any responsibilities or liabilities under Data Protection Laws. h2. 3. Instructions The Parties shall only process (and shall ensure its Personnel only process) the Protected Data in accordance with satisfying the purpose of this Agreement and the other Party's written instructions from time to time except where otherwise required by applicable law (and in such a case shall inform the other Party of that legal requirement before processing, unless applicable law prevents it doing so on important grounds of public interest). A Party shall immediately inform the other Party if any instruction relating to the Protected Data infringes or may infringe any Data Protection Law. h2. 4. Security The Parties shall at all times implement and maintain appropriate technical and organisational measures to protect Protected Data against accidental, unauthorised or unlawful destruction, loss, alteration, disclosure or access. h2. 5. Sub-processing and Personnel 5.1 A Party shall not permit any processing of Protected Data by any agent, sub-contractor or other third Party (except its own employees and subcontractors) without the prior specific written authorisation of that Sub-Processor by the other Party and only then subject to such conditions as the other Party may require. 5.2 The Company shall ensure that access to Protected Data is limited to the authorised persons who need access to it to supply the Services. h2. 6. Assistance 6.1 A Party promptly provide such information and assistance (including by taking all appropriate technical and organisational measures) as the other Party may require in relation to the fulfilment of the other Party's obligations to respond to requests for exercising the Data Subjects' rights under Chapter III of the GDPR (and any similar obligations under applicable Data Protection Laws). 6.2 The Parties shall provide such information, co-operation and other assistance to the other Party as the other Party reasonably requires (taking into account the nature of processing and the information available to each Party) to ensure compliance with the other Party's obligations under Data Protection Laws, including with respect to: 6.2.1 security of processing; 6.2.2 data protection impact assessments (as such Term is defined in Data Protection Laws); 6.2.3 prior consultation with a Data Protection Supervisory Authority regarding high-risk processing; and 6.2.4 any remedial action and/or notifications to be taken in response to any Personal Data Breach and/or any complaint or request relating to either Party's obligations under Data Protection Laws relevant to this Agreement, including (subject in each case to the Client's prior written authorisation) regarding any notification of the Personal Data Breach to Data Protection Supervisory Authorities and/or communication to any affected Data Subjects. h2. 7. Data Subject Requests 7.1 The Company shall (at the Client's cost) record and refer all requests and communications received from Data Subjects or any Data Protection Supervisory Authority to the Client which relate (or which may relate) to any Protected Data promptly (and in any event within seven days of receipt) and shall not respond to any without the Client's express written approval and strictly in accordance with the Client's instructions unless and to the extent required by law. h2. 8. International Transfers 8.1 None of the Party shall process and/or transfer, or otherwise directly or indirectly disclose, any Protected Data in or to any country or territory outside the United Kingdom or to any International Organisation without the prior written authorisation of the other Party (which may be refused or granted subject to such conditions as the other Party deems necessary). h2. 9. Audit 9.1 The Company shall (and shall ensure all Sub-Processors shall) promptly make available to the Client (at the Client's cost) such information as is reasonably required to demonstrate the Company's and the Client's compliance with their respective obligations under this Schedule and the Data Protection Laws, and allow for, permit and contribute to audits, including inspections, by the Client (or another auditor mandated by the Client) for this purpose at the Client's request from time to time. The Company shall provide (or procure) access to all relevant premises, systems, personnel and records during normal business hours for the purposes of each such audit or inspection upon reasonable prior notice (not being more than seven Business Days) and provide and procure all further reasonable co-operation, access and assistance in relation to any such audit or inspection. h2. 10. Breach 10.1 Either of the Parties shall promptly (and in any event within 48 hours) notify the other Party if it (or any of its Sub-Processors or the Company Personnel) suspects or becomes aware of any suspected, actual or threatened occurrence of any Personal Data Breach in respect of any Protected Data. 10.2 The Party shall promptly (and in any event within 48 hours) provide all information as the other Party requires to report the circumstances referred to in paragraph 10.1 (above) to a Data Protection Supervisory Authority and to notify affected Data Subjects under Data Protection Laws. h2. 11. Deletion/Return 11.1 Either Party shall (and shall ensure that each of the Sub-Processors and Company Personnel shall without delay (and in any event within seven days), at the other Party's written request, either securely delete or securely return all the Protected Data to the Party in such form as the Party reasonably requests after the earlier of: 11.1.1 the end of the provision of the relevant Services related to processing of such Protected Data; or 11.1.2 once processing by the Party of any Protected Data is no longer required for the purpose of the Party's performance of its relevant obligations under this Agreement, and securely delete existing copies (except to the extent that storage of any such data is required by applicable law and, if so, the Party shall inform the other Party of any such requirement (together with confirmation of the relevant law(s). h2. 12. Survival 12.1 This Schedule shall survive termination or expiry of this Agreement for any reason. h2. 13. Rights of Data Subjects 13.1 Nothing in this Agreement affects the rights of Data Subjects under Data Protection Laws (including those in Articles 79 and 82 of the GDPR or in any similar Data Protection Laws) against the Client, the Company or any Sub-Processor. --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Agent Mesh | &above Source: https://www.andabove.com/agent-mesh Description: Agent Mesh is a framework for connected agents, deployed in your business by &above's AI engineers. Shared workflows, unified company knowledge, model routing and measurement - and you own the IP. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- Accelerator cohort starts October · 3 spots available h1. The connected agent framework you own Agent Mesh is a framework for connected agents, deployed by &above's AI engineers. Your knowledge, your workflows, your IP to keep. [APPLY FOR THE ACCELERATOR](#section-agent-mesh-accelerator) · [SEE WHAT'S INCLUDED](#section-agent-mesh-layers) ![Agent Mesh answering a Q2 sales question in Slack with a revenue table and an anomaly flag](https://www.andabove.com/content-media/pages/agent-mesh/mesh-slack-q2-sales.gen.webp) THE PROBLEM h2. A human & agent team is vital to compete but, we've seen where businesses get stuck h3. 01 Everyone builds their own Everyone gets a licence and training, but people build their own individual workflows. The duplication is expensive for the CFO and chaos for the COO. Cost: Duplicated effort h3. 02 Knowledge is lost Shared wikis, hubs and skill libraries, nobody uses them or keeps them up to date, so AI still starts from a blank slate. Cost: Low quality work h3. 03 Stuck in frontier models Lots of AI usage and agents means a huge AI bill. Most tokens are spent on frontier models doing basic routine work. Cost: Expensive token bill h3. 04 Built to 75% Teams build their own systems to 75%, workflows are part-built, with no measurement, no owner improving them and no governance. Cost: Stalled workflows THE PRODUCT h2. That's why we built Agent Mesh: a framework for connected agents, deployed by our AI experts, where you own your IP. h3. 01 System layer: Agents built for your business We design agents and workflows with shared company skills, tool integrations and permissioned sub-agents, so individual wins become company capability. h4. Shared group and company workflows Company systems are in one admin layer and auto-deployed, so nobody has to search a shared hub. h4. Promote individual wins to company capability The best skill one person built becomes the team standard rather than sitting in one person's chat history. h4. Continuous optimisation Skills improve based on evals, confidence scores and usage, and every personal agent gets the best version. h4. Where your team already works Personal agents live in Slack or your chat app of choice, so nobody has to learn a new tool. ![The Agent Mesh routines admin, showing scheduled workflows assigned to groups](https://www.andabove.com/content-media/pages/agent-mesh/mesh-routines-admin.gen.webp) h3. 02 Context layer: Unified company knowledge Every agent starts from what your business already knows, with answers linked to verified sources. No more starting from scratch. h4. Ground work in what the business knows Company knowledge lives in people's heads, disparate hubs and disconnected tools. Mesh captures decisions and client context, then uses them to power the work. h4. Verified sources for confidence Anyone can use a frontier model trained on the internet. Answers in Mesh are grounded in your business, with every claim linked to a memory or tool source. h4. A wiki that builds itself Interactions build context across the company. We use this to auto-generate your company wiki and keep it up to date. h4. Integrate your tool stack Connect tools with native and MCP integrations. Bring your own stack, and each agent inherits its user's permissions. ![Agent Mesh gathering context from Gmail and its own memory before answering a client question](https://www.andabove.com/content-media/pages/agent-mesh/mesh-gathering-context.gen.webp) h3. 03 Quality layer: Outcomes you can rely on The pipework required to scale a system you can trust, meaning routing, guardrails, evals and measurement. h4. Guardrails and human-in-the-loop Encode your policies. High-risk actions such as contract approvals trigger the right level of human review. h4. Evals and observability Confidence measured for every agent and skill. Know what is working, catch what is not. h4. Stop paying frontier prices for routine work Mesh routes each request to the right model for the job, across providers and without losing context. Bring your own keys. Up to 80% - modelled reduction in effective AI spend 58% conservative to 80% aggressive, modelled for typical enterprise API usage, August 2026 list prices Agent (Shared context) - Small model, routine extraction: 1x - Mid model, first-pass drafting: 4x - Frontier model, complex reasoning: 18x h4. Measure what matters to drive adoption Weekly team-level reporting on adoption & ROI, with insight on what to prioritise next. ![The Agent Mesh weekly team report, scoring activity, engagement, depth and ROI](https://www.andabove.com/content-media/pages/agent-mesh/mesh-weekly-team-report.gen.webp) USE CASES h2. Popular agents adding value h3. Pitch Engine Turns an RFP, brief or customer calls into a proposal draft in your voice, built from your credentials and case studies. h3. Client Intelligence Summarises client calls into insights and objections, then shares weekly themes with product, sales and marketing. h3. Cash Pack Runs a fortnightly cash flow forecast from CRM sales scenarios and the accounting system. h3. Account Growth Watches client buying signals and recommends upsell opportunities by stage. h3. Capacity Planner Reads backlogs and project plans, flags over and under allocation, then drafts the fortnight's resourcing plan. h3. Daily Briefing Reads 1:1 notes, calendar, emails and PM tools and makes a plan for the day. WHAT'S INCLUDED h2. Included in every Agent Mesh deployment One product, deployed by our AI engineers and configured around how your business already works. h3. Personal Agents A personal agent for every employee, adapted to their role and style. h3. LLM Router Right model for the job, across providers. Bring your own keys. h3. Knowledge Core Self-building wiki for answers grounded in the business, linked to sources. h3. Tools & Integrations Native and MCP, including the platforms you built yourselves. h3. Guardrails Policies encoded, human-in-the-loop for high-risk actions. h3. Agent Toolkit In-house teams extend the system with their own agents. h3. Memory Knowledge graph for personal memory to embed longer-term context. h3. Global Skills & Routines Promote the best to a team or the company. Every agent gets the latest. h3. System & Brand White-label environment with brand voice and system guidelines baked in. h3. Chat Integrations Slack and the chat apps your team already uses. h3. Permissions Scoped access and RBAC that mirrors the org structure. h3. Evals & Observability Confidence for every agent and skill, improved from real usage. h3. How it works Get the benefits of building in-house, without the burden h4. 01 We deploy Agent Mesh Get access to personal agents and the pipework: routing, memory, permissions and evals, working from day one and kept up to date so you don't have to. h4. 02 We build agents and drive adoption Our AI engineers and strategists embed with your team to co-design workflows and guardrails for how your business operates, and champion adoption inside it. h4. 03 You own the IP on the system Everything built is portable across model providers, extendable by your own team, and yours to keep or sell. Transition capability in-house over time. h2. Our Work Case studies Built by the team behind agents at Google, Sage, and Tesco. h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Enterprise agents that find the next deal. Thousands of sellers, products, sales decks. Now sellers turn to an AI sidekick that connects CRM insight with hundreds of resources and reveals the next best opportunity. 5,000 monthly active users, avg. 64% time saving [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) Retail media. 4 weeks, to live in days. Complex guidelines and manual approvals slowed every campaign down. Now compliance is built into the workflow, so teams spot issues early and launch in days. From 4 weeks to days with agents for retail creative [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) h3. Sage ![Sage creative intelligence dashboard](https://www.andabove.com/content-media/work/home-sage-creative-intelligence.gen.webp) Disparate data to creative intelligence. Campaign data lived in different places, so it was hard to see what was working. Now marketers ask a Creative Intelligence agent that turns fragmented data into answers. "...we can gain share in the market, thanks &above" [View case study](https://www.andabove.com/work/sage/disparate-data-to-creative-intelligence.md) h3. Upstix ![Upstix instant property valuation](https://www.andabove.com/content-media/work/home-upstix-valuation.gen.webp) Life's biggest transaction. In 7 days. Valuations take time and lead qualification is manual, so momentum is easily lost. Now homeowners get an instant AI-powered valuation and agents follow up automatically. 7x qualified leads in 12 months with sales agents [View case study](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) THE ACCELERATOR h2. Agent Mesh Accelerator: scale your team in six weeks Most companies have AI tools, pilots and power users. The next challenge is turning those individual wins into a system that works across the business. - Next cohort: October 2026 - Spots available: 3 - Applications close: 25 September [APPLY NOW (3 MINS)](https://andabove.link/mesh-accelerator) h3. 1. Use Agent Mesh from day one In Slack, up to 20 users, with shared skills, personal memory, tool integrations and LLM routing. h3. 2. Build high value workflows We embed an AI engineer to co-build an agent workflow and optimise the outcome. h3. 3. Capture early measurement and value What works, where agents can do more, and where adoption can be accelerated. h3. What we're looking for - Growing in the next six months - 100 to 1,000 employees - A pilot team with a champion already using AI - Budget for AI, and it is a business priority - The team can use Mesh daily, with one weekly feedback call --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Agent Mesh Accelerator | &above Source: https://www.andabove.com/agent-mesh-accelerator Description: A six week accelerator for teams already using AI: connect your tools and knowledge in Agent Mesh, build one high value agent workflow, and measure what it changes. Three places, applications close 25 September 2026. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Scale your team with agents in just 6-weeks The Agent Mesh Accelerator Most companies have AI tools, pilots and power users. The next challenge is turning those individual wins into a system that works across the business. We're opening 3 places for a six week Agent Mesh Accelerator, giving ambitious teams the chance to build agent workflows, drive adoption and prove where agents can create real business value. Your team is already using AI. But perhaps: - The best prompts, processes and knowledge aren't shared across the team. - People still move between Claude, ChatGPT, Slack, CRM, docs and internal systems to get things done. - You have scattered AI use cases, but no clear path to scale or improve them. - Usage is growing, but you're not yet sure where AI is creating measurable business value. Applications close in: 2026-09-25T22:59:00.000Z Only 3 places are available. [APPLY NOW](https://andabove.link/mesh-accelerator) h3. The Accelerator What happens in six weeks? Connect agents to what your business already knows and build the best use-cases in a system that will scale across your team. h4. 01 Integrate. Connect from day one. Get your team into Agent Mesh and connect the tools, knowledge and workflows they already use. Your agents work with your business context, not from a blank slate. h4. 02 Adopt. Put agents to work where it matters. We'll embed an AI engineer with your team to identify and build a high value agent around a real business problem. Not a demo. Not a generic use case. Something your team can actually use. h4. 03 Optimise. Measure, improve & spot opportunities. We'll run evaluations and establish early measurement around workflow performance, adoption and business value. You'll see what's working, where the gaps are and what to build next. h2. What you'll have at the end - A working agent workflow, built around one of your team's highest value opportunities. - A connected agent system, with the foundations to build more agent workflows integrated with your knowledge and tools. - Early evidence of value, so you can see where AI is saving time, improving work and creating opportunities. - A roadmap for what's next, based on what your people actually use, not what looks impressive in a demo. h2. The Accelerator is for growing businesses that: - Have 100-1,000 employees - Are already using AI - Have a specific team and workflow they want to improve - Have an internal AI champion - Have AI as a genuine business priority - Can commit to using Agent Mesh daily during the pilot h2. October Cohort: Applications close 25th September 2026. [APPLY NOW](https://andabove.link/mesh-accelerator) h3. What is Agent Mesh? An agent framework deployed in your business by our AI experts, and you own your IP. [SEE MORE](https://www.andabove.com/agent-mesh.md) ![Agent Mesh routines, showing scheduled workflows assigned to teams](https://www.andabove.com/content-media/pages/agent-mesh-accelerator/agent-mesh-routines.gen.jpg) h4. SYSTEM LAYER Agents built for your business We design agents & workflows with shared company skills, tool integrations, and permissioned sub-agents. h4. CONTEXT LAYER Unified company knowledge Every agent starts from what your business already knows, with answers linked to verified sources. h4. QUALITY LAYER Outcomes you can rely on Get access to the pipework required to scale a system you can trust - guardrails, evals, measurement, and routing tasks to the most relevant model. h2. Our Work Our work Agent systems in production for Google Cloud, Upstix and Tesco. h3. Google ![Google Gemini Sales Sidekick](https://www.andabove.com/content-media/work/case-studies-gemini-mockup.gen.webp) Sales agents that find the next deal. [View case study](https://www.andabove.com/work/google/scaling-googles-salesforce-with-custom-solutions.md) h3. Upstix ![Upstix instant property valuation](https://www.andabove.com/content-media/work/home-upstix-valuation.gen.webp) Life's biggest transaction. In 7 days. [View case study](https://www.andabove.com/work/upstix/building-a-scalable-app-to-transform-selling-homes.md) h3. Tesco ![Tesco retail media compliance workflow](https://www.andabove.com/content-media/work/home-tesco-retail-media.gen.webp) Retail media. 4 weeks, to live in days. [View case study](https://www.andabove.com/work/tesco/retail-media-from-weeks-to-live-in-days.md) THE ACCELERATOR h2. Agent Mesh Accelerator: scale your team in six weeks Most companies have AI tools, pilots and power users. The next challenge is turning those individual wins into a system that works across the business. - Next cohort: October 2026 - Spots available: 3 - Applications close: 25 September [APPLY NOW (3 MINS)](https://andabove.link/mesh-accelerator) h3. 1. Use Agent Mesh from day one In Slack, up to 20 users, with shared skills, personal memory, tool integrations and LLM routing. h3. 2. Build high value workflows We embed an AI engineer to co-build an agent workflow and optimise the outcome. h3. 3. Capture early measurement and value What works, where agents can do more, and where adoption can be accelerated. h3. What we're looking for - Growing in the next six months - 100 to 1,000 employees - A pilot team with a champion already using AI - Budget for AI, and it is a business priority - The team can use Mesh daily, with one weekly feedback call --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Press | &above Source: https://www.andabove.com/feed/press Description: Where &above has been featured in the press, plus an archive of past coverage. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h2. Press - [Beyond the native agent identity question](https://digitalisationworld.com/blogs/23210-beyond-the-native-agent-identity-question) Digitalisation World · 5 Aug 2026 - [Why AI implementation is keeping startup Founders awake at night](https://www.forbes.com/sites/alisoncoleman/2026/06/16/heres-why-ai-implementation-is-keeping-startup-founders-awake-at-night/) Forbes · 16 Jun 2026 - [Achieving effective AI transformation](https://www.business-reporter.co.uk/digital-transformation/achieving-effective-ai-transformation) Business Reporter · 15 May 2026 - [The secrets of successful AI implementation for SMEs](https://www.consultancy.uk/news/43652/above-ceo-jordan-richards-on-the-secrets-of-ai-implementation-for-smes) Consultancy.uk · 15 Apr 2026 - [Why goals and accountability matter in AI transformation](https://www.europeanbusinessreview.com/the-importance-of-managing-goals-and-accountability-in-ai-transformation/) European Business Review · 15 Mar 2026 - [AI isn't making Developers more productive - It's making them busier](https://leaddev.com/ai/ai-isnt-making-developers-more-productive-its-making-them-busier) LeadDev · 15 Jan 2026 h2. Archive - [Meet Jordan Richards, Founder & CEO of &above](https://techround.co.uk/interviews/meet-jordan-richards-founder-and-ceo-at-ai-product-studio-above/) - [Business Insight Journal interview with Jordan Richards](https://bi-journal.com/business-insight-journal-interview-with-jordan-richards/) - [Redefining AI implementation with a hands-on studio approach](https://uktechnews.co.uk/2025/11/04/above-redefines-ai-implementation-with-a-hands-on-studio-approach/) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Feed | &above Source: https://www.andabove.com/feed Description: Insights on AI, digital product development, branding, and enterprise transformation from the &above team. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Feed Updates from the team. - [Most organisations don't have an AI problem, they have an innovation problem](https://www.andabove.com/feed/most-organisations-dont-have-an-ai-problem-they-have-an-innovation-problem.md) Adopting AI is easy. Creating value with it is harder. The organisations getting it right are the ones that already knew how to experiment, learn and adapt. - [Should you hire an AI engineer?](https://www.andabove.com/feed/hiring-an-ai-engineer-isnt-your-ai-strategy.md) Hiring an AI engineer is a milestone, not a strategy. Real AI transformation pairs internal capability with external expertise. - [The fastest way to waste money on AI](https://www.andabove.com/feed/the-fastest-way-to-waste-money-on-ai.md) Most organisations start with the technology, not the problem. AI is a capability, not a strategy - the best projects begin with friction. - [Native agent identity isn't the finish line](https://www.andabove.com/feed/native-agent-identity-isnt-the-finish-line.md) Borrowed or native, broad or narrow - agent identity is two problems, not one. - [The race to become your single interface](https://www.andabove.com/feed/the-race-to-become-your-single-interface.md) Software is consolidating into a single agent layer. As tools become infrastructure, value shifts to data, memory, and context - design for agents too. - [AI productivity: why more output hasn’t meant less work](https://www.andabove.com/feed/the-illusion-of-ai-productivity-why-more-output-hasnt-meant-less-work.md) GenAI helped people create more, faster but it didn’t automatically make work easier, because outputs still need review, refinement and integration. - [AI is a forcing function, not a feature](https://www.andabove.com/feed/ai-is-a-forcing-function-not-a-feature.md) AI hasn’t killed industries it has lowered the barrier to entry and exposed how outdated many business operations really are. - [AI Doesn’t Reward Activity. It Rewards Coherence](https://www.andabove.com/feed/ai-doesnt-reward-activity-it-rewards-coherence.md) Most AI initiatives fail because strategy, speed, and adoption are disconnected. AI-native businesses win through coherence, not activity. - [Onboarding a mind](https://www.andabove.com/feed/onboarding-memory-capture-learnings.md) How structured Q&A and open-ended prompts affect AI memory recall - and why hybrid onboarding creates more reliable avatar experiences. - [Building AI that delivers business value: founder Q&A](https://www.andabove.com/feed/building-ai-that-delivers-business-value-q-and-a-with-our-founder.md) A deep dive into our founder’s journey, practical AI use cases, agentic systems, and how companies can scale AI from quick wins to real business value. - [The AI payoff starts with the problems you’ve been avoiding](https://www.andabove.com/feed/the-ai-payoff-starts-with-the-problems-youve-been-avoiding.md) AI investments fail without the right foundation. Learn how to build organisational, technological, and strategic readiness for measurable AI impact. - [&above welcomes Phil Miles as Non-Executive Chairperson](https://www.andabove.com/feed/above-welcomes-phil-miles-as-non-executive-chairperson.md) &above appoints Phil Miles as Non-Executive Chairperson, marking a new phase of growth as the studio expands its leadership and pursues ambitious goals. h2. Press - [Beyond the native agent identity question](https://digitalisationworld.com/blogs/23210-beyond-the-native-agent-identity-question) Digitalisation World · 5 Aug 2026 - [Why AI implementation is keeping startup Founders awake at night](https://www.forbes.com/sites/alisoncoleman/2026/06/16/heres-why-ai-implementation-is-keeping-startup-founders-awake-at-night/) Forbes · 16 Jun 2026 - [Achieving effective AI transformation](https://www.business-reporter.co.uk/digital-transformation/achieving-effective-ai-transformation) Business Reporter · 15 May 2026 - [The secrets of successful AI implementation for SMEs](https://www.consultancy.uk/news/43652/above-ceo-jordan-richards-on-the-secrets-of-ai-implementation-for-smes) Consultancy.uk · 15 Apr 2026 h2. Archive - [Embedded AI engineers vs. traditional consultancies: a guide for leaders](https://www.andabove.com/feed/embedded-ai-engineers-vs-traditional-consultancies.md) - [How to choose an AI agent development company](https://www.andabove.com/feed/how-to-choose-an-ai-agent-development-company.md) - [What Revolut's design system taught us about speed](https://www.andabove.com/feed/what-revoluts-design-system-taught-us-about-shipping-fast.md) - [AI agency vs in-house: build, buy or embed](https://www.andabove.com/feed/ai-agency-vs-in-house-build-buy-or-embed.md) - [What is a forward-deployed engineer?](https://www.andabove.com/feed/what-is-a-forward-deployed-engineer.md) - [Forward deployed engineers alone won't fix your AI adoption problem. Here's what will](https://www.andabove.com/feed/forward-deployed-engineers-alone-wont-fix-ai-adoption.md) - [How to choose an AI consultancy](https://www.andabove.com/feed/how-to-choose-an-ai-consultancy.md) - [How much does AI product development cost?](https://www.andabove.com/feed/how-much-does-ai-product-development-cost.md) - [Top AI Product Agencies for Enterprises (2026)](https://www.andabove.com/feed/top-ai-product-agencies-for-enterprises-2026.md) - [Best AI Consulting Firms in London & the UK (2026)](https://www.andabove.com/feed/best-ai-consulting-firms-london-uk-2026.md) - [Top AI Development Companies in the UK (2026)](https://www.andabove.com/feed/top-ai-development-companies-in-the-uk-2026.md) - [Top AI Agent Development Companies in the UK (2026)](https://www.andabove.com/feed/top-ai-agent-development-companies-in-the-uk-2026.md) - [Best AI Agencies for Scale-ups (2026)](https://www.andabove.com/feed/best-ai-agencies-for-scale-ups-2026.md) - [Best AI Product Design Agencies in London (2026)](https://www.andabove.com/feed/best-ai-product-design-agencies-in-london-2026.md) - [AI Transformation Checklist: Don't Miss These Steps](https://www.andabove.com/feed/ai-transformation-checklist-dont-miss-these-steps.md) - [Best Digital Product Agencies in UK 2026: The Complete Guide](https://www.andabove.com/feed/best-digital-product-agencies-in-uk-2026-the-complete-guide.md) - [How &above Delivers Enterprise AI at Startup Speed](https://www.andabove.com/feed/how-above-delivers-enterprise-ai-at-startup-speed.md) - [&above vs Deloitte for London enterprise AI projects](https://www.andabove.com/feed/start-2026-right-above-vs-deloitte-for-london-based-enterprise-ai-projects.md) - [Pioneering AI strategy, research & transformation](https://www.andabove.com/feed/above-pioneering-ai-strategy-research-and-transformation-for-the-digital-era.md) - [Shaping future-ready brand identity with strategy & AI](https://www.andabove.com/feed/above-shaping-future-ready-brand-identity-in-london-through-strategy-creativity-and-ai.md) - [Digital Product Trends for 2025: What agencies should watch](https://www.andabove.com/feed/digital-product-trends-for-2025-what-agencies-should-watch.md) - [How to pick the right Digital Product Agency in London](https://www.andabove.com/feed/how-to-pick-the-right-digital-product-agency-in-london.md) - [How a custom software agency helps you scale faster](https://www.andabove.com/feed/how-a-custom-software-development-agency-can-help-you-scale-faster.md) - [Top 5 SaaS development agencies in London](https://www.andabove.com/feed/top-5-saas-development-agencies-in-london.md) - [The role of a digital product agency in start-up success](https://www.andabove.com/feed/the-role-of-a-digital-product-agency-in-start-up-success.md) - [5 signs you need a digital product agency](https://www.andabove.com/feed/5-signs-you-need-a-digital-product-agency.md) - [The future of digital product development](https://www.andabove.com/feed/the-future-of-digital-product-development.md) - [Why UX/UI design is crucial for digital product success](https://www.andabove.com/feed/why-ux-ui-design-is-crucial-for-digital-product-success.md) - [10 questions to ask before hiring a digital product agency](https://www.andabove.com/feed/10-questions-to-ask-before-hiring-a-digital-product-agency.md) - [What is a digital product agency & why do you need one?](https://www.andabove.com/feed/what-is-a-digital-product-agency.md) - [Why use React Native for your mobile app?](https://www.andabove.com/feed/react-native-for-your-mobile-app.md) - [Vue VS React: which one should you choose?](https://www.andabove.com/feed/vue-vs-react.md) --- h2. Footer h3. Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) h3. Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) h3. Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) h3. Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner h3. Recognition - [Top Clutch.co Artificial Intelligence Company England 2026](https://clutch.co/profile/above-1?utm_source=clutch_top_company_badge&utm_medium=image_embed&badge=127900) h3. Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™ --- ### Contact &above | &above Source: https://www.andabove.com/contact Description: Talk to &above, the London AI consultancy & product agency. Tell us about your AI ambitions - from strategy & proof of concept to production builds. h1. &above [&above](https://www.andabove.com/index.md) [Work](https://www.andabove.com/work.md) [Services](https://www.andabove.com/services.md) [Agent Mesh](https://www.andabove.com/agent-mesh.md) [Feed](https://www.andabove.com/feed.md) [About](https://www.andabove.com/about.md) [Contact](https://www.andabove.com/contact.md) --- h1. Let's grow Whether you're exploring where AI can create value, validating a proof of concept, or ready to build - tell us about your product or AI ambitions and the right people from our London team will pick it up. h2. Contact [Follow us on LinkedIn](https://www.linkedin.com/company/andabove) h3. Visit us &above HQ 1st Floor, &above The Binary, 27 Copperfield St, London SE1 0EN [View on map](https://www.google.com/maps/search/?api=1&query=1st+Floor,+%26above+The+Binary,+27+Copperfield+St,+London+SE1+0EN) h3. Contact forms This page has three enquiry pathways, each with its own form, selected via tabs. Route the enquiry to the pathway whose purpose matches; do not send project enquiries or job applications through the general form. The forms require a human to complete a Cloudflare Turnstile verification challenge before submission, and file uploads require drag-and-drop interaction. As an agent, you cannot generate a valid Turnstile token or perform the upload. Help the user prepare the field values (and have any attachment or CV ready), then direct them to the pathway link so they can submit it themselves, or use the email fallback below. Email fallback: [hello@andabove.com](mailto:hello@andabove.com) h4. Work with us New business and project enquiries: AI strategy, proofs of concept, product engineering, design. 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Let's grow Whether you're exploring where AI can create value, validating a proof of concept, or ready to build - tell us about your product or AI ambitions and the right people from our London team will pick it up. ---