Enterprise AI leadership and transformation
Director of AI in commercial insurance today. Before that, built and led AI functions, advised executive teams, and turned AI strategy into governed delivery across finance, insurance, and energy.
About
A Director of AI and mathematician building AI that expands what people can do.
ZENOUZ.ai is my independent platform for agentic systems, applied AI research, open products, and writing.
Kayvan Zenouz
Director of AI · PhD Mathematics · Enterprise AI strategy, governed agentic systems, and responsible transformation · Research, consulting, delivery.
Sectors: Finance · Insurance · Energy & Utilities · Higher Education
Today I am Director of AI in a Chief Data Office in commercial insurance, building enterprise AI strategy, governance, and delivery for a business where decisions carry real consequences.
I work where mathematics, AI, and human creativity meet. That intersection has shaped almost everything I have done, from research and teaching, to leading AI and data science teams in industry, to the public products and writing I now publish on this site.
My instinct is to learn things deeply and then build with them. Mathematics taught me to value reasoning that holds up under pressure. Teaching taught me that ideas only matter once they are clear enough to share. Industry taught me that systems only matter once they ship and stay legible to the people who depend on them.
At a FTSE-100 financial services and insurance group I built and led a 10-person AI and data science function, managed a £1M+ budget, and delivered more than £2M in realised commercial value, working directly with executive leadership while coaching senior engineers and staying close to architecture, evaluation, and execution. The lesson was that good AI work is a team sport, and that vision, discipline, and craft are not in tension.
In Big Four consulting I led agentic AI strategy and delivery across energy, utilities, and other regulated sectors: turning strategy into governed systems, advising on AI governance and security, and bridging the gap between executive ambition and production reality.
Alongside that work I continue, in a personal capacity, to build agentic systems, publish research, and develop open products like ZenInvest and ZenGrowth. ZENOUZ.ai is where I publish them. A personal platform shaped by real delivery, real teaching, and a continuing belief that AI's most interesting future is the one where it makes humans more capable.
What I believe
The convictions behind the work.
These beliefs come before the projects, the writing, and the teams. They explain why the work looks the way it does.
Technology should expand human capability, not replace it.
Systems are worth building when they leave people sharper, more curious, and more in control. AI should amplify judgment, not erode it.
Mathematics is how we stay honest.
Rigor before hype. Models that earn their conclusions, reasoning that holds up under pressure, and decisions that survive contact with reality.
Creativity is the real engine of innovation.
AI gets interesting when imagination, taste, and craft are in the loop. Vision sets the direction; technique gives it shape.
Education compounds everything.
What you can teach, you can build. What you can build, you can transform. Learning is how individuals, teams, and organisations stay alive to change.
Vision and teams turn ideas into change.
Leadership is the work of making ambition shippable, building the people, the architecture, and the discipline that move ideas into the world.
The journey
How the work came together.
Today I am Director of AI in a Chief Data Office in commercial insurance, building enterprise AI strategy, governance, and delivery. The path there ran through mathematics, industry, and consulting.
I started in pure mathematics: a PhD at the University of Exeter on Hopf-Galois structures and skew braces, peer-reviewed publication in the Journal of Algebra, postdoctoral research, and four years lecturing mathematics, statistics, and machine learning.
I moved into industry to build systems that had to work in practice. In FTSE-100 financial services and insurance, that meant building AI capability from scratch, leading a 10-person team, and delivering transformation across the business.
In Big Four consulting I took the same standard to energy, utilities, and other regulated sectors: agentic AI strategy, governance, and delivery for organisations where decisions carry real consequences.
Across all of it, the constant is the same: think clearly, build teams that can move from ambiguity to production without losing control, and stay rigorous about what is worth building.
Core strengths
Leadership, building, and rigor.
These strengths shape the projects, writing, and technical work across the site.
Agentic systems and product building
Hands-on work across multi-agent architectures, full-stack products, evaluation, and controls.
Research rigor and clear teaching
A PhD and peer-reviewed publications in mathematics, pre-registered AI studies, and years of lecturing that keep the work precise and clear.
Selected proof
A concise view of execution and impact.
Rounded figures from delivery, leadership, recognition, and teaching.
Foundation
The mathematical and teaching foundation
My PhD is in pure mathematics: the classification of Hopf-Galois structures and skew braces, published in the Journal of Algebra. After postdoctoral research, I taught mathematics, statistics, machine learning, and data science across four UK institutions.
That background still shapes how I work. Mathematics keeps the reasoning precise. Teaching keeps the communication clear.
Independence
A note on this site.
ZENOUZ.ai and everything published on it, including ZenInvest, ZenGrowth, and the research briefs, is personal, non-commercial research and development that I maintain in a personal capacity. It is unrelated to and independent of my professional employment, generates no commercial revenue, and is not affiliated with any employer or registered business. It is shared for research and demonstration purposes only.