Insurance
Automate insurance claim intake with AI
AI automates insurance claim intake by taking a free-text first-notice-of-loss narrative and turning it into a structured claim record (type, severity, coverage check, next steps), then routing straightforward claims for fast handling and complex ones to a human. Paste a claim narrative into the demo below and get a structured record with next steps.
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Insurance Claim Intake
A claim narrative in, a structured claim record and next steps out.
Why this matters now
Only about 7% of insurers have scaled AI to production even though most auto and home insurers are using or planning it, which is a wide-open gap. AI-assisted claims handling runs materially faster and cheaper, and the leaders already auto-handle a large share of simple claims end to end.
How the reliable version works
- 1Parse the free-text FNOL narrative into structured fields.
- 2Classify the claim by type and estimate severity.
- 3Run a coverage check against the policy terms.
- 4Recommend next steps and route: fast-track the simple, escalate the complex.
- 5Keep an adjuster in the loop for anything high-value or ambiguous.
Common questions
Can AI handle complex claims, or just simple ones?
The reliable design fast-tracks simple, clear claims and routes complex or high-value ones to a human adjuster with the case already structured and triaged. You get speed on the volume and human judgment where it matters.
Can it read damage photos, not just text?
Yes, with a vision model. Photo assessment pairs with the text intake so severity estimates can use both. The image-understanding demo shows the vision side.
Does it integrate with our claims system?
Yes. The structured output maps into your claims platform, and I build the intake and the integration behind a stable contract so nothing couples to a single model.
Related demos, work and services
Want this built properly for your product?
Tell me what you are building and where it is stuck. I reply within one business day with an honest read on whether I can help.
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