FCA Launches AI Live Testing to Move Banking AI from Pilot to Production

FCA Launches AI Live Testing to Move Banking AI from Pilot to Production

UK’s FCA Pioneers Live AI Testing for Financial Services

The Financial Conduct Authority has launched an AI Live Testing initiative to help banks, insurers and fintechs move artificial intelligence from pilot projects into controlled, real-world production. The programme provides a regulator-backed environment where firms can validate models on live data and customer flows while operating under defined safeguards and oversight.

Many organisations suffer from “POC paralysis” where promising proofs of concept never clear the jump to production because operational, compliance and risk questions remain unanswered. The FCA aims to tackle that by offering a structured, supervised route to real-world validation. As Ed Towers put it, the programme offers a “structured but flexible space” for firms to test AI in live settings while maintaining safeguards.

Importantly, the FCA defines an “AI system” holistically, not just as an algorithm. The definition covers deployment context, training and inference data pipelines, monitoring and controls, human oversight arrangements, and governance frameworks. That broader view recognises that harms and failures often emerge from integration, data drift, or weak operational controls rather than model logic alone.

The initiative aligns with the wider regulatory push on operational resilience and international efforts on AI assurance. For financial firms, the practical implication is a move toward demonstrable accountability and integrated AI assurance: documented testing plans, governance evidence, incident playbooks, and monitoring metrics ready for regulator review. Firms that adopt this approach can accelerate safe rollouts, demonstrate readiness to supervisors, and reduce the friction that has kept many projects in perpetual pilot mode.

Key takeaway: the FCA’s live testing reframes production-readiness as evidence-based and supervised, creating a clear path for AI systems to serve real customers under accountable controls.