Chris is responsible for the strategy, delivery and governance of data, analytics and artificial intelligence across the business. He sits at the intersection of technology, underwriting and operations, with a particular focus on turning advanced AI capabilities into production systems that materially improve underwriting outcomes.
Over the past several years, Chris has led CFC’s move from traditional decision‑support tools to genuinely agentic underwriting, where AI agents are embedded directly into core underwriting workflows. He is the executive sponsor and architect behind CFC’s Agentic Underwriting programme, including Lane Assist — an agent‑assisted quoting capability designed to support underwriters by automatically preparing and recommending quotes on low‑complexity risks, while keeping humans firmly in the loop for judgement, governance and accountability
Chris’s work focuses on practical, production‑grade AI rather than experimentation for its own sake. Under his leadership, CFC has built underwriting agents that draw on structured underwriting guides, internal data assets and governance controls to support end‑to‑end decision journeys — from submission ingestion to quote recommendation — in live underwriting environments. A core theme of his work is designing AI systems that scale underwriting capacity, improve consistency and free underwriters to focus on complex, high‑value taks, while maintaining clear lines of accountability and control.
Alongside delivery, Chris is a strong advocate for responsible and well‑governed AI. He has been deeply involved in shaping CFC’s approach to agentic governance, operational controls and risk management, ensuring that AI systems are observable, adjustable and aligned with underwriting appetite as they move into production use.
Before leading Data & AI at CFC, Chris worked across Strategy, Product and Actuarial, giving him a pragmatic view of what it takes to translate AI ambition into working reality. He regularly speaks to senior insurance and technology audiences on agentic systems, AI adoption at scale, and the organisational changes required to make AI genuinely useful in regulated, high‑stakes environments.