Summary
What this article covers in 30 seconds
- The Treasury Committee report warns that AI is already shaping credit, insurance and customer service decisions.
- More than three-quarters of UK financial services firms are now using AI.
- Risks include opaque decisions, exclusion of vulnerable consumers, fraud and unregulated advice from AI chatbots.
- The Committee wants practical guidance by the end of 2026, stronger SM&CR accountability and AI-specific stress testing.
Commenting on the UK Parliament Treasury Committee publication of the Artificial Intelligence in Financial Services report, Joe Norburn, CEO at TCC Group, highlighted the growing regulatory and operational challenge posed by AI.
“The Treasury Select Committee’s latest report on AI in financial services delivers a stark warning to regulators and firms. AI is already shaping decisions across credit, insurance and customer services, yet opaque decision-making, the risk of excluding vulnerable consumers, increased fraud and unregulated advice from AI chatbots expose a widening gap in regulatory oversight. What the report exposes is a growing tension inside firms,” Norburn said.
The Committee’s report echoes this concern. It emphasises that more than three-quarters of UK financial services firms are now using AI, especially in areas such as insurance claims processing and credit assessments, and that the current “wait-and-see” regulatory stance may not be sufficient to manage the associated risks.
According to the Treasury Committee, AI offers benefits including improved efficiency and faster customer service, but risks to consumers and market stability are real. Evidence submitted to MPs underscored worries about the lack of transparency in AI-driven decisions, potential financial exclusion of vulnerable customers, fraud and risks to consumer protection.
Norburn says AI is evolving quickly, often embedded deep within operational processes, while regulatory expectations remain fragmented and sometimes ambiguous. A passive “wait-and-see” approach is now untenable. Without decisive action, AI-driven decision-making risks amplifying bias, weakening consumer protection and creating new sources of systemic shock. Where accountability is unclear, responsibility will fall through the gaps.
The Committee’s recommendations are a turning point in how AI’s role in finance is governed. The Bank of England and the Financial Conduct Authority are being told to provide comprehensive, practical guidance on how existing rules apply to AI by the end of 2026, strengthen accountability under the Senior Managers and Certification Regime, and introduce AI-specific stress testing to prepare for market disruption. HM Treasury is also urged to bring major AI and cloud providers into the Critical Third Parties regime to address concentration risk.
A timely reminder that responsible AI isn’t just about innovation, it’s about governance, transparency and trust
“The message is simple: responsible AI is no longer optional,” Norburn said. “It is fast becoming a core conduct and operational resilience concern. Innovation could and should deliver better outcomes for consumers, but only where governance, transparency and accountability are built in from the outset.”
Firms that act now to strengthen governance frameworks, clarify accountability for AI outcomes and align with emerging regulatory expectations will be better placed to navigate the evolving landscape. As AI becomes more embedded in financial decision-making, thoughtful implementation supported by oversight will be key to realising opportunities while protecting consumers and market integrity.
Recordsure works to AI principles focused on safety, security, ethical responsibility and accountability, helping firms adopt AI with confidence in regulated environments.
Frequently asked questions
The UK Parliament Treasury Committee report, Artificial Intelligence in Financial Services.
It identifies opaque AI decisions, exclusion of vulnerable consumers, increased fraud, unregulated chatbot advice and risks to market stability.
Regulators are being told to provide practical AI guidance by the end of 2026, strengthen SM&CR accountability and introduce AI-specific stress testing.