- The quickest wins are in document-heavy operations: claims intake and policy servicing.
- AI should support, not replace, underwriting and claims decisions.
- Keep fair treatment of customers, explainability and data protection at the centre.
Insurance runs on documents: proposal forms, medical reports, receipts, policy wordings and correspondence. That makes it one of the sectors where AI can reduce cost fastest.
Practical use cases
- Claims intake: reading claim forms, receipts and reports, extracting details and checking completeness before an assessor sees the file.
- Policy servicing: answering policyholder questions and processing routine changes such as address updates.
- Underwriting support: summarising applications and medical information for the underwriter, and flagging missing items.
- Agent and broker productivity: preparing client meeting notes, needs summaries and follow-up messages.
- Complaints handling: classifying complaints and drafting acknowledgements within service standards.
Controls that matter
Decisions on cover, pricing and claims must remain explainable and reviewed by qualified staff. Fair treatment of customers, data protection and record keeping apply to AI-assisted processes as much as to manual ones. Check the expectations of your regulator before automating customer-facing or decision-making steps.
Talent
Insurers usually need AI implementation people who understand insurance operations, plus solutions architects to connect AI to core policy and claims systems.
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