Insurance runs on paper. Applications, claim forms, medical notes, survey reports, emails with attachments. Much of the day goes to reading, retyping and chasing missing pieces.
That is the kind of work AI does well. The decision at the end is a different matter.
Four good places to start
1. Reading and sorting incoming documents. A claim email arrives with five attachments. The system names each document, pulls out the key fields and files them with the right case. Staff stop doing data entry.
2. Checking a file is complete. Before a person opens a case, the system lists what is missing: the signature, the bill, the photo. A request goes out the same hour, not three days later.
3. Drafting the first reply. For common cases, the system writes a clear, polite message in the customer’s language for an adjuster to edit and send.
4. Preparing a summary for the adjuster. A long history becomes one page, each line linked to the source so it can be checked.
What stays with a person
- Approving or rejecting a claim
- Pricing a risk that is unusual
- Anything suggesting fraud, where a wrong accusation harms a real customer
- Conversations with distressed people
AI can prepare the file. A person decides, and is accountable.
Pitfalls to plan for
Messy inputs. Scans, handwriting and photos of forms need testing on your real samples, not clean ones.
Hidden bias. If the system sorts or scores cases, test whether groups of customers are treated differently.
No audit trail. Regulators and your own reviewers will want to see why something happened. Log every step.
How to begin
Pick one product line and one document type. Measure today’s handling time and error rate. Build the reader and the completeness check first, run it beside the team for a month, and compare.
See how this looks in our loan-document blueprint, which uses the same approach, or read about AI automation.
Work with us on this
- AI Workflow Automation: Automate document-heavy, judgement-light work across finance, HR, support and operations.
- AI Agent Development: We build AI agents that complete multi-step work inside your systems, with guardrails, human approval and full audit logs.