How can AI improve insurance claims processing?

AI can automate straightforward claims through straight-through processing, but complex claims and those involving personal injury still require human assessment. AI handles 30-50% of claims end-to-end, with the remainder receiving AI-assisted human handling.

AI damage assessment from photos achieves 80-90% accuracy for common damage types on motor and property claims. It is most effective as a preliminary assessment that is validated by human adjusters for claims above threshold values.

Yes, when implemented with appropriate governance. The FCA expects fair treatment of customers regardless of how claims are processed. AI systems must maintain transparency, avoid bias, and provide appropriate human oversight.

AI assists with complex claims by gathering and organising evidence, identifying similar historical claims, flagging relevant policy terms, and producing structured case summaries. The liability determination itself remains with experienced claims handlers, but AI significantly accelerates the information gathering and analysis stages.

Yes. Network analysis AI excels at detecting organised fraud by mapping connections between claimants, witnesses, solicitors, garages, and medical providers across multiple claims. These patterns are virtually impossible to detect manually but AI can identify suspicious networks across thousands of claims.