Richard Foster-Fletcher
Once a financial or strategic commitment depends on AI, evidence is needed that the system placed into use can do the work that commitment assumes.
Richard Foster-Fletcher is the author of the forthcoming The AI Gap and one of the UK’s leading independent researchers on how advanced AI changes what organisations are capable of. His talks connect the latest advances in intelligence and judgement with their implications for executive decision-making and organisational performance.
Full Profile
Why organisations work with Richard Foster-Fletcher
- Richard tests the latest AI systems at the limits of their reasoning and judgement. He works across models from leading AI labs and is regularly invited to evaluate new releases.
- His research examines the distance between frontier capability, the AI available inside companies, and what those organisations can then decide and do.
- Through MKAI, Richard publishes independent empirical studies on how advanced AI changes organisations, including an analysis of 150 SEC 10-K filings across 50 US public companies. His work is independent of technology vendors and consulting firms.
- His research identifies seven recurring Structural Dynamics of enterprise AI adoption.
- He has advised UK Parliament and sits on the United Nations Environment Programme Resilience Frontiers Advisory Group, and has spoken for Salesforce, Telefónica, Oracle, and ARM, and at LSE, Imperial College London, UCL, and the University of Oxford.
Biography highlights
- Author of the forthcoming The AI Gap (Kogan Page, June 2027).
- Chair of MKAI, the independent AI research organisation he founded in 2019.
- Author of the seven-pattern framework on the Structural Dynamics of enterprise AI adoption.
- Published a working paper on SSRN, The First Annual Reports of the LLM Era, analysing 150 SEC 10-K filings across 50 US public companies.
- Publishes What Still Matters, a weekly essay series read by over 6,000 subscribers.
- Has advised UK Parliament and sits on the United Nations Environment Programme Resilience Frontiers Advisory Group.
- Has spoken for Salesforce, Telefónica, Oracle, and ARM, and at LSE, Imperial College London, UCL, and the University of Oxford.
- Named among Favikon’s UK Top 20 AI Researchers and Entrepreneurs in 2026, and a LinkedIn Top Voice in AI.
Biography
Advanced AI systems can now reason and make judgements that go well beyond the tools most companies have in daily use. That gap is the subject of Richard Foster-Fletcher’s research and of his forthcoming book, The AI Gap. One of the UK’s leading independent researchers in the field, his talks examine what the gap means for the decisions organisations make and the commitments those decisions rest on.
The AI Gap, to be published by Kogan Page in June 2027, examines the distance between the capability a company has placed into use, the capability its commitments require, and the evidence connecting the two.
Richard works directly with the latest systems from leading AI labs. He tests their reasoning and judgement, and compares how they perform from one release to the next. He also studies what changes when those systems enter governed organisational environments.
He chairs MKAI, founded in 2019, which publishes independent empirical research on AI and organisations. Recent studies have examined corporate capability reporting, the effect of organisational instructions on AI judgement, responsibility for AI-assisted decisions, and the visibility of controls placed around enterprise systems. One analysed 150 SEC 10-K filings across 50 US public companies. His research identifies seven recurring Structural Dynamics of enterprise AI adoption.
Richard has advised UK Parliament and sits on the United Nations Environment Programme Resilience Frontiers Advisory Group. He has given talks for Salesforce, Telefónica, Oracle, and ARM, and at LSE, Imperial College London, UCL, and the University of Oxford. He was named among Favikon’s UK Top 20 AI Researchers and Entrepreneurs in 2026 and is a LinkedIn Top Voice in AI.
Key speaking topics
- Artificial intelligence and organisational capability
- Executive decision-making and judgement
- Organisational strategy under advanced AI
- AI governance and capability constraints
- Risk, responsibility, and evidence
- Frontier AI and enterprise availability
- Workforce capability and the future of work
Ideal for
- Main-stage audiences seeking an evidence-based account of what leading AI systems can now do.
- Boards and executive committees examining commitments that depend upon AI capability.
- P&L holders responsible for results whose delivery assumes that AI can perform specific work.
- Governance, risk, and audit audiences examining the evidence behind organisational AI decisions.
Audience outcomes
- An evidence-based account of where leading AI systems have reached.
- A basis for separating material advances from repackaged capability and unsupported claims.
- A clear distinction between the result being promised, the system being used, and the evidence connecting them.
- A view of the distance between frontier capability and the AI available inside companies.
- What remains untested when a financial or strategic commitment depends on AI.
Talks
An evidence-based read on where frontier models have reached, which advances materially change what AI can contribute, and how far workplace AI still lags.
Key takeaways:
- The reasoning and judgement now available in leading systems
- How to tell a material advance from repackaging or an unsupported claim
- The organisational cost of leaving the gap between frontier and workplace AI unexamined
A closed-door briefing on how organisations come to promise results that depend on AI capability that has not been verified against the commitment, and what it takes to close that gap.
Key takeaways:
- Separating the result promised, the system selected, and the evidence linking them
- Which functions need to be in the room when a commitment depends on AI
- What evidence is currently missing, and what would be required to establish capability