--- title: "Agent Mesh | &above" canonical_url: "https://www.andabove.com/agent-mesh" last_updated: "2026-09-05T11:57:23.306Z" meta: 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." "og: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." "og:title": "Agent Mesh" "twitter: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." "twitter:title": "Agent Mesh" --- # &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 # 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 ## A human & agent team is vital to compete but, we've seen where businesses get stuck ### 01 Everyone builds their own Everyone gets a licence and training, people build their own individual workflows, duplication is expensive for the CFO and chaos for the COO. Cost: Duplicated effort ### 02 Knowledge nobody tends 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 ### 03 Frontier models on routine work Lots of AI usage and agents, a huge AI bill, and most tokens spent on frontier models doing routine work. Cost: Expensive token bill ### 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 ## That's why we built Agent Mesh: a framework for connected agents, deployed by our AI experts, where you own your IP. ### 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. #### Shared group and company workflows Company systems are in one admin layer and auto-deployed, so nobody has to search a shared hub. #### Promote individual wins to company capability The best skill one person built becomes the team standard, versioned like code rather than sitting in one person's chat history. #### Continuous optimisation Skills improve based on evals, confidence scores and usage, and every personal agent gets the best version. #### 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) ### 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. #### 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. #### 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. #### A wiki that builds itself Interactions build context across the company, memory and integrations keep it fresh, and evals monitor accuracy over time. #### Integrate your tool stack Native and MCP integrations, and your own internal tools plug in the same way. Each agent inherits its user's existing 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) ### 03 Quality layer: Outcomes you can rely on The pipework required to scale a system you can trust, meaning routing, guardrails, evals and measurement. #### Guardrails and human-in-the-loop Encode your policies. High-risk actions such as contract approvals trigger the right level of human review. #### Evals and observability Confidence measured for every agent and skill. Know what is working, catch what is not. #### 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, baseline Fable 5. Agent (Shared context) - Small model, routine extraction: 1x - Mid model, first-pass drafting: 4x - Frontier model, complex reasoning: 18x #### Measure what matters to drive adoption Weekly team-level reporting across four questions, 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 ## Popular agents adding value ### Pitch Engine Turns an RFP, brief or customer calls into a proposal draft in your voice, built from your credentials and case studies. ### Client Intelligence Summarises client calls into insights and objections, then shares weekly themes with product, sales and marketing. ### Cash Pack Runs a fortnightly cash flow forecast from CRM sales scenarios and the accounting system. ### Account Growth Watches client buying signals and recommends upsell opportunities by stage. ### Capacity Planner Reads backlogs and project plans, flags over and under allocation, then drafts the fortnight's resourcing plan. ### Daily Briefing Reads 1:1 notes, calendar, emails and PM tools and makes a plan for the day. WHAT'S INCLUDED ## Included in every Agent Mesh deployment One product, deployed by our AI engineers and configured around how your business already works. ### Personal Agents A personal agent for every employee, adapted to their role and style. ### LLM Router Right model for the job, across providers. Bring your own keys. ### Knowledge Core Self-building wiki for answers grounded in the business, linked to sources. ### Tools & Integrations Native and MCP, including the platforms you built yourselves. ### Guardrails Policies encoded, human-in-the-loop for high-risk actions. ### Agent Toolkit In-house teams extend the system with their own agents. ### Memory Knowledge graph for personal memory to embed longer-term context. ### Global Skills & Routines Promote the best to a team or the company. Every agent gets the latest. ### System & Brand White-label environment with brand voice and system guidelines baked in. ### Chat Integrations Slack and the chat apps your team already uses. ### Permissions Scoped access and RBAC that mirrors the org structure. ### Evals & Observability Confidence for every agent and skill, improved from real usage. ### How it works Get the benefits of building in-house, without the burden #### 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. #### 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. #### 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. ## Our Work Case studies Built by the team behind agents at Google, Sage, and Tesco. ### 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) ### 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) ### 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) ### 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 ## 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) ### 1. Use Agent Mesh from day one In Slack, up to 20 users, with shared skills, personal memory, tool integrations and LLM routing. ### 2. Build high value workflows We embed an AI engineer to co-build an agent workflow and optimise the outcome. ### 3. Capture early measurement and value What works, where agents can do more, and where adoption can be accelerated. ### 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 --- ## Footer ### Pages - [Home](https://www.andabove.com/index.md) - [Work](https://www.andabove.com/work.md) - [Services](https://www.andabove.com/services.md) ### Studio - [About](https://www.andabove.com/about.md) - [Careers](https://www.andabove.com/careers.md) - [Feed](https://www.andabove.com/feed.md) ### Legal - [Privacy](https://www.andabove.com/privacy-policy.md) - [T&C](https://www.andabove.com/terms.md) ### Our partners - Anthropic - Google Cloud Partner - Vercel - Webflow Certified Partner ### 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) ### Contact [Contact](https://www.andabove.com/contact.md) 1st Floor, The Binary, 27 Copperfield St London, SE1 0EN © 2026 &above™