Insurance & Claims
Insurance Claim / Damage Report
Extract claim, policy and damage data from claim forms and damage reports for faster settlement.
The Challenge
Claims arrive as forms, free-text descriptions, photos, repair estimates and invoices, partly handwritten. Linking the claim to the policy, extracting damage details and amounts, and checking coverage at volume is demanding.
Industries
Insurance, brokers, fleet/logistics, manufacturing (own claims), property.
Who Uses It
Claims handlers, brokers, fleet managers, finance.
BASE Schema
Claimant / policyholder — Text
Policy number — Text
Claim / reference number — Text
Date & place of loss — Key value set (date + time, place)
Damage description — Text
Claimed amount — Number
Attachments (estimates, photos) — Table
Third-party details — Text
Recommended pipeline settings — High precision mode, Checkbox detection, Context (coverage rules and deductible logic)
OPTIONAL Validation
Policy-number match and coverage check; claimed-amount vs. estimate consistency; mandatory-field/attachment completeness; duplicate-claim detection.
Frequently ASked Questions
How can AI speed up insurance claims processing?
It extracts claim, policy and damage data from forms and attachments, links the claim to the policy, and checks coverage so handlers settle faster.
Can document AI process handwritten and photo-based claims?
Yes — handwritten forms, repair estimates and photo attachments are captured, with uncertain fields sent to review.
Why automate claims intake?
It shortens settlement cycles, improves customer satisfaction, and frees adjusters from manual data entry on high claim volumes.
See more use cases.
Get inspired by further sample data schemas.