Richard Foster-Fletcher
AI has moved past the pilot stage and into the documents, decisions, and reasoning that organisations rely on. The problem is no longer adoption. It is what happens to institutional judgement when the conditions under which it is formed are quietly rewritten by the models in the loop.
Richard Foster-Fletcher is an AI advisor and researcher who helps boards, governments, and senior leaders govern artificial intelligence as it enters formal decision-making, not just operations.
Full Profile
Why organisations work with Richard Foster-Fletcher
- Brings a structured research practice, run through MKAI and Reality & Reason, that publishes instruments organisations can use to test the integrity of management information once AI is in the loop.
- Has examined AI’s effect on disclosure and decision processes through a study of 150 SEC 10-K filings across 50 US public companies, giving a quantitative spine to claims most AI keynotes leave at the anecdote.
- Advises across an unusually wide institutional surface: UK Parliament, the United Nations Environment Programme, governments including Tunisia, and Fortune 500 boards, so the perspective is not single-sector.
- Treats AI ethics as an operating problem for governance, audit, and the executive, rather than a values statement, which is the brief most boards now actually need.
- Holds standing as a Favikon UK Top 20 AI Researcher and Entrepreneur and a LinkedIn Top Voice in AI, both reflecting sustained public output rather than a one-off ranking.
Biography highlights
- Founder and Executive Chair of MKAI.org, a global responsible-AI organisation established in 2019.
- Founder of Reality & Reason, publisher of the Management Information Integrity Addendum and the Residual Logic Scanner.
- Author of the weekly essay series “What Still Matters,” with a subscriber base of over 6,000 senior readers.
- Former AI and CX Director at Oracle; earlier career at the BBC.
- Member of the United Nations Environment Programme Resilience Frontiers Advisory Group.
- Lecturer at LSE, UCL, Oxford, Imperial College London, Cranfield, and Henley Business School.
- Named in the UK’s Top 20 AI Researchers and Entrepreneurs by Favikon; LinkedIn Top Voice in AI.
- Qualifications from MIT Sloan (Implications of AI for Business Strategy) and the University of Michigan (Data Science Ethics).
Biography
Most organisations now have generative AI inside their writing, analysis, and decision flows. Few have a clear view of what that is doing to the quality of the reasoning the board ultimately sees. That gap is the territory Foster-Fletcher works in.
Through MKAI, the responsible-AI organisation he founded in 2019, and Reality & Reason, his editorial and research body, he publishes practical instruments for senior teams. The Management Information Integrity Addendum and the Residual Logic Scanner sit alongside a study of 150 SEC 10-K filings across 50 US public companies, looking at how AI-shaped language enters formal corporate disclosure.
His advisory footprint covers UK Parliament, the United Nations Environment Programme Resilience Frontiers Advisory Group, governments including Tunisia, and Fortune 500 boards. He lectures at LSE, UCL, Oxford, Imperial College London, Cranfield, and Henley Business School, and earlier in his career held senior roles at Oracle and the BBC.
The signature contribution is a framework on the structural dynamics of enterprise AI adoption, which sets out seven recurring patterns including private accumulation of capability, erosion of human capacity through routine offloading, and the narrowing of visible strategic alternatives under model-led framing. That framework is what senior buyers are usually responding to when they commission him.
Key speaking topics
- Responsible AI governance for boards and executive teams
- AI strategy beyond pilots and proof-of-concept
- AI in management information, reporting, and disclosure
- The future of work in the age of generative AI
- AI ethics as an operating capability
- Decision-making and human judgement when models are in the loop
- Leadership in an AI-shaped organisation
Ideal for
- Boards, audit committees, and CROs wrestling with AI as a governance and disclosure question
- CIOs, CDOs, and Chief AI Officers moving from experimentation to operating deployment
- CEOs and executive teams in regulated sectors where AI is entering decision processes
- Government and policy audiences responsible for AI regulation, public-sector adoption, or capability building
Audience outcomes
- A working language for what AI is doing to the integrity of internal information and decision papers
- A clear map of recurring failure modes in enterprise AI adoption, drawn from the seven-pattern framework
- A defensible point of view on AI governance suitable for board, audit, and disclosure conversations
- Concrete next moves on where AI should and should not be in the reasoning chain
- A grounded sense of the future of judgement, expertise, and human capability inside AI-shaped organisations