AI adoption is accelerating across financial services, but the accompanying risks are becoming clearer. Industry commentary warns that fluent AI output can weaken critical thinking if teams accept it without challenge. At the same time, the FCA has highlighted the scale of financial crime: firms closed 238,396 suspected money-mule accounts in 2025, and criminals are increasingly moving funds through multiple accounts before cashing out.
For mortgage and protection firms, AI may improve document triage, fraud-signal detection and case prioritisation. However, systems can also amplify bad data, introduce bias, invent plausible-looking facts or create security risks where sensitive client information is entered into unapproved tools. Firms should treat AI outputs as decision support, especially where affordability, vulnerability, fraud, lending criteria or advice records are concerned.
- Use AI for: administration, drafting, quality checks and anomaly triage.
- Retain human accountability for: advice, suitability, disclosure, customer outcomes and final decisions.
- Governance: maintain approved-tool lists, staff training, access controls, testing, monitoring and an audit trail.