AI Model Risk Governance
Designing and operationalising governance frameworks for AI in regulated financial environments, including risk-tiered classification, supervisory alignment and practical instruments such as the AI Project Canvas.
AI Governance · Product Control · Economic History
Engineering trustworthy AI for global finance.
Automation and Innovation SME at HSBC Product Control. Building AI systems that meet the bar regulators set, informed by a historian's view of how financial systems actually evolve.
- AI model risk governance
- Finance transformation and applied AI
- Credit risk across banks, NBFIs, sovereigns and FMIs
- Economic history of West African financial systems
- Watercolour, printmaking and creative practice
Selected venues and institutions
HSBC
Financial Times
The Economist
Banque de France
Bank for International Settlements
UK Endorsement Board
Welcome
I work at the intersection of financial controls, applied AI and economic history.
At HSBC, I am the Automation and Innovation SME in Product Control, focused on AI Model Risk Governance: the practical question of how banks adopt generative AI without breaking the regulatory frameworks that keep them solvent.
I am also developing Ile Owo, an eight-agent IFRS and IAS advisory system that mirrors the workflow of a professional accounting policy team.
Core Expertise
Governance, transformation and risk.
Finance Transformation & Applied AI
Building AI systems that solve real Product Control problems, including Ile Owo, an eight-agent IFRS and IAS advisory system built in Python on the Anthropic API.
Credit Risk & Market Infrastructure
More than a decade managing credit risk across banks, non-bank financial institutions, sovereigns, supranationals and country risk across more than 85 jurisdictions.
Featured Project
Ile Owo
An eight-agent IFRS advisory system.
Ile Owo, meaning “house of money” in Yoruba, is a multi-agent accounting policy advisor built on the Anthropic Claude API. Rather than a single chatbot, it mirrors how a real accounting policy team works.
The system includes an Orchestrator, Filter, Summaryan, Historian, Insider, Outsider, Auditor and Scribe. Sources span the UK Endorsement Board, BIS, Big 4 technical libraries and internal repositories.
Explore the architectureHow I Work
Financial systems are infrastructure.
Most "AI for finance" advice falls into one of two camps: engineers who do not understand why regulators are nervous, or risk professionals who do not understand what the technology can actually do. Both camps then write frameworks the other camp cannot use.
My work is grounded in a specific belief: the question that matters when new technology arrives is the same one that mattered when paper money replaced specie, when colonial banks replaced trading houses and when SWIFT replaced telex. How does this absorb a shock it was not designed for?
Speaking
Selected panel engagements.
FT Live, FT Fintech Festival
FT Open Finance Stage. Panellist, Open Finance Meets AI. November 2025.
"Governance is not the speed bump — it is the road. Without it, applied AI in regulated finance does not scale."
The Economist, AI for CFOs
Panel speaker, Deep Learning: Training the AI-First CFO. March 2026.
"The CFO function will be reshaped not by the model that drafts the disclosure, but by the controls around it."
Banque de France
Crédibilités des monnaies, de John Law au bitcoin. Presentations on monetary sovereignties and monetary creation in Nigeria.
"Every monetary innovation gets tested the same way: by the first shock it was never designed to absorb."
Contact