Webinar: Thursday 24th September | 16:00 BST | 17:00 CEST | 11:00 EDT

Grow AI adoption & measure what matters.

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 in:

29Days

20Hours

18Minutes

48Seconds

Speakers

Jordan Richards

CEO & Co-Founder

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.

Lewis Allison

Behavioural Science & AI Adoption Consultant

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.

What we’ll cover

In this executive discussion, we’ll explore:

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.