Webinar
The AI Value Gap: What's Working, What's Noise, and How to Tell the Difference.
Tuesday November 03, 2026 10:00 AM Europe/London
Every board is asking the same question right now: is our AI investment actually working? Few leadership teams have a straight answer.
Amazon engineers described their AI cost overruns as 'catastrophically expensive' earlier this year. One deployment ran 860% over budget and went undetected for five months. Uber consumed its entire 2026 AI budget in four months. These are not edge cases. 73% of organisations report that AI costs have now exceeded original projections. The question every board is beginning to ask is not whether to invest in AI - that conversation is over. The question is whether anyone in the organisation actually knows what it is returning.
AI is reshaping engineering, operations, and the business functions around them but separating genuine commercial value from expensive experimentation is getting harder, not easier.
This webinar cuts through the noise on AI ROI, looking at what is actually moving the needle for organisations that have moved past the pilot stage and are now being asked to justify the spend.
Join our Service Director, Thomas Barns, as he shares practical, real-world perspective on separating AI value from AI activity including where the value gap tends to open up, how to spot it before it hits the P&L, and what a credible measurement approach actually looks like.
What Thomas will cover:
• Is AI adoption actually delivering measurable business outcomes or just activity?
• How is AI really reshaping the P&L, beyond the headline efficiency gains?
• Where is AI creating genuine commercial value, and where is that value quietly leaking away?
• What separates organisations that can answer these questions from those that can't?
Who should attend.
Senior technology and finance leaders in organisations actively deploying AI, who are feeling board pressure on AI ROI, and who sit in the space where AI cost and return fall between engineering and commercial teams.
Thomas Barns
Thomas has over 15 years of experience building capacity and performance models for complex IT systems across e-commerce, banking, and telecoms.
He has led major programmes for clients including easyJet, JD Sports, and UKHSA — including scaling Covid testing infrastructure to six million tests per day.
At Capacitas, Thomas leads service design and client delivery, helping organisations translate AI ambitions into systems that are engineered to perform reliably under real-world conditions.