Extract Data from Insurance Claims with AI
Insurance claim documents are dense, inconsistent, and time-sensitive. DocumentIQ extracts claim numbers, policy references, incident details, loss types, and claimed amounts from any claim form or adjuster report. Accelerate claims processing, reduce manual review cycles, and improve data quality for analytics and fraud detection.
What You Can Extract
claim_number
Unique identifier assigned to the insurance claim.
policy_number
Policy number under which the claim is filed.
insured_name
Name of the policyholder or insured party.
incident_date
Date when the loss or incident occurred.
loss_type
Category of loss such as property damage, liability, or theft.
claimed_amount
Total amount claimed by the insured party.
adjuster_notes
Notes and observations recorded by the claims adjuster.
These are common fields. With DocumentIQ you can define any custom field and extraction prompt specific to your documents.
Use Cases
- Accelerate first notice of loss (FNOL) processing
- Extract structured data from adjuster reports for claims analytics
- Cross-reference claim details with policy terms for coverage validation
- Build datasets for fraud detection and pattern analysis
Ready to extract data from your insurance claims?
Start extracting structured data in minutes -- no setup fee, no commitment.