AI & Governance
What happens when generative AI, regulation, model risk, legal accountability and organisational incentives collide.
Writing, teaching and working at the intersection of technology, institutions, markets and human ambition.
Engineer. Lawyer. Oxford MBA.
Senior AI and digital transformation leader with 15+ years across regulated finance, scientific publishing, consulting, venture building, development and industrial R&D.
Now writing books, teaching advanced interdisciplinary courses and building a public body of work around technology, governance, education and careers.
A body of work spanning AI governance, economics, organisations, education, careers and the choices people make inside complex systems.
What happens when generative AI, regulation, model risk, legal accountability and organisational incentives collide.
Strategy, economics and institutional decision-making — with particular attention to technology's changing role.
UPSC, MBA preparation, careers, learning and the difficult question of how to spend a finite life well.
“I am interested in what happens when ideas meet institutions — when technology meets law, ambition meets incentives, and theory meets the messy reality of human organisations.”
The writing ranges deliberately: UPSC preparation and careers, data science, management, spirituality, essays, fiction and biography.
How to Navigate the Civil Services Grind Without Compromising Your Career, Wealth, or Identity.
A practical, unsentimental guide to preparing for one of India's most competitive examinations without allowing the examination to consume the life around it.
UPSC · careers · education
UPSC · careers · what comes after the examination
MBA preparation · management · decision-making
Historical fiction · India
Biography · education · modern India
Data science · spirituality · essays · management · fiction
Essays can start as lectures, arguments, book ideas or questions that refuse to go away.
Why governance failures are usually failures of ownership, incentives and institutional design.
Read essay →Algorithms are mechanisms for allocating attention, opportunity and power.
Read essay →What extreme competition does to the psychology of preparation.
Read essay →Open to Adjunct Professor of Practice / Guest Faculty opportunities where real-world experience can become rigorous, discussion-driven classroom learning.
Practice-led teaching built around cases, failure analysis and institutional decision-making. The course connects AI technology to law, regulation, organisational incentives and governance.
Real organisational and regulatory situations rather than abstract frameworks.
What went wrong? Who knew? Which incentives produced the outcome?
Technology, law, economics and management treated as one problem.
The early years in industrial R&D and development-sector work are part of the story — not footnotes. They shaped the systems thinking that later informed startups, consulting and enterprise AI.
Worked at the intersection of industrial R&D and business problems, building a foundation in applied engineering and technology.
Worked across technology, partnerships and public-sector implementation in a mission-driven environment spanning multiple geographies.
Built analytics products used by Fortune 500 firms, utilities and public agencies.
Fractional technology lead for seven early-stage startups across health-tech and social impact.
Led analytics and digital implementations for airline businesses across APAC and EMEA.
Led AI strategy and solution architecture across 70+ client engagements globally.
Established and led the Global AI Centre of Excellence across 30+ countries; delivered AI products serving 40M+ monthly users and initiated organisation-wide AI ethics, governance and risk discussions.
Led enterprise GenAI initiatives across Retail Banking and Cards; delivered $21M cost savings in the first year and worked with legal, compliance and risk teams on governance frameworks.
Leading development of AI-powered Thematic Risk Analysis for the Credit Cards portfolio; built the Thematic Risk AI CoE, defined its vision, hired a team of six VPs and partnered across Lines of Business to identify, quantify, control and mitigate emerging risks across 52 regulations.
University lectures, executive education, faculty development, AI governance workshops and keynotes.
Engineering taught me how systems work. Data science taught me how organisations use information. An MBA taught me how institutions make decisions. Law taught me what happens when those decisions encounter rules, rights and accountability.
My work today sits somewhere in the middle — and my writing and teaching are an attempt to make that middle visible.
Saïd Business School · Weidenfeld-Hoffmann and Saïd Scholar
Law, regulation and accountability
Electronics & Instrumentation Engineering
Academic collaborations, Adjunct Professor of Practice opportunities, executive education, speaking invitations, media enquiries and conversations about books are welcome.