AI for Insurance Underwriting & Claims
Read submissions, loss runs, and medical reports in seconds. Extract structured data with audit trails that satisfy regulators and dispute teams.
Built for
Why Insurance teams struggle today
The problems we see in every insurance workflow.
- Policy review for coverage gaps and exclusions takes underwriters hours per submission
- Claims documentation extraction is manual and error-prone under volume
- Underwriting risk assessments depend on unstructured broker notes and reports
- Reinsurance treaty analysis requires lawyer-level review of dense legal text
- Audit trail requirements add hours to every claim decision
How DataStruct AI solves it
Purpose-built capabilities for insurance workflows.
- Policy term extraction with coverage limit and exclusion mapping
- Claims evidence extraction with structured output and review routing
- Broker submission analysis (loss runs, surveys, financial statements)
- Risk language detection and exception flagging across document sets
- Regulatory compliance rule packs with audit-ready evidence trails
Insurance use cases
The most impactful workflows DataStruct AI powers for insurance teams.
Underwriting Automation
Problem: Underwriters spend hours per submission reading broker packs, loss runs, and risk surveys.
Solution: Automatically extract risk indicators, financial metrics, and key exposures with confidence scores.
Impact: Underwriters focus on judgment calls, not data entry.
Claims Processing
Problem: Claims teams drown in adjuster reports, medical records, and FNOLs with tight SLAs.
Solution: Extract claim facts, identify coverage triggers, flag fraud indicators, and route to specialists.
Impact: Faster decisions. Fewer leakage events. Happier policyholders.
Reinsurance Treaty Analysis
Problem: Treaty wordings are dense legal documents; extracting recoverable terms across treaties is painful.
Solution: Side-by-side treaty comparison with clause-level diffing and obligation extraction.
Impact: Recover what you're owed. Spot adverse term changes at renewal.
Regulatory Reporting
Problem: Solvency II, NAIC, and PRA reporting requires audit-ready evidence for every disclosure.
Solution: Every metric traces back to source documents with timestamps and reviewer sign-off.
Impact: Pass audits without the fire drill.
Document types we handle
Questions you can ask
- ›“What exclusions apply to this policy?”
- ›“Extract all coverage limits and sub-limits”
- ›“Compare deductible structures across the portfolio”
- ›“Identify subrogation provisions”
- ›“Summarise claims history from this loss run”
Why Insurance teams choose DataStruct AI
Evidence-cited AI
Every answer linked to source. Designed to reduce hallucinations through citation validation and abstention. Audit-ready by design.
Built to scale
Multi-tenant architecture with SSO, RBAC, and audit logs. Scales to thousands of users without losing tenant isolation.
12 domain packs
Pre-configured terminology, document types, and rule packs for your vertical.
See DataStruct AI in action
Tell us about your team, document volumes, and integrations. We'll put together a tailored package and walk you through the platform.