The FCA’s insurance priorities require boards to evidence claims oversight, Consumer Duty outcomes, access decisions, innovation controls and third-party governance across complex operating models.
How a major UK retail bank moved from reviewing fewer than 5% of mortgage sales to 100% coverage — cutting QA review time in half.
Agentic AI can expose weaknesses in connected systems when natural language reliance, layered decision-making and insufficient oversight introduce hidden failure points.
Autonomous AI tools can create reduced visibility, security vulnerabilities and blurred accountability when they act across platforms without proper governance.
Motor finance redress will test whether lenders can evidence consistent remediation decisions across historic agreements, customer communications and audit trails.
Joe Norburn discussed how wealth firms can pursue consolidation while maintaining governance, due diligence, integration control and oversight.
Kit Ruparel comments on agentic AI in insurance claims, where tools can support real-time decisions, progress claims and manage workflows under human oversight.
Agentic AI needs strict permissions, governance and security-first deployment because autonomous tools can create data, compliance and security risks.
The FCA’s 2026 focus puts evidence, outcomes-based supervision and data-led governance at the centre of regulatory readiness.
In 2026, FCA supervision is expected to place greater emphasis on evidence, outcomes and targeted, data-led oversight.
