FCA's Mills Review outlines AI oversight framework for UK finance

The Financial Conduct Authority (FCA) has released the Mills Review, a comprehensive assessment of how artificial intelligence (AI) and machine learning (ML) technologies are being used within the United Kingdom’s financial services sector. The review, commissioned by the FCA’s senior leadership, identifies key risks such as model bias, data security, and lack of transparency, and proposes a set of regulatory expectations for firms deploying AI-driven products. It recommends that firms maintain robust governance structures, conduct regular model validation, and document decision‑making processes to ensure compliance with existing consumer protection and market integrity rules.

The FCA also highlights the need for industry collaboration, suggesting the creation of a shared repository of best practices and a dialogue platform between regulators, firms, and technology providers. While the review stops short of introducing new legislation, it signals that the regulator will intensify supervisory focus on AI applications, particularly in areas like credit scoring, fraud detection, and automated advice. Firms are expected to submit detailed AI governance plans as part of their regular supervisory filings.

The findings are relevant for the broader AI and crypto industries because they illustrate how a major financial regulator is moving from generic guidance to concrete oversight of algorithmic systems. As AI becomes integral to risk assessment and trading, similar regulatory approaches may emerge globally, influencing how crypto platforms that rely on AI for market analytics or compliance manage their technology stacks. The review also underscores the importance of transparent, auditable AI models, a principle that could shape future standards for decentralized finance (DeFi) protocols.