Claims Processing
with AI
Extract claim facts and coverage terms with source links, and route items to a reviewer for decision.
Claims teams drown in adjuster reports, correspondence, and FNOLs with tight deadlines.
Extract claim facts and coverage terms with source links, and route items to a reviewer for decision.
Faster reviewer decisions from source-linked facts.
How DataStruct AI delivers Claims Processing
Evidence-backed AI
Outputs cite the source paragraph. A verification pass flags claims it cannot match to the cited evidence.
Insurance domain pack
Pre-configured terminology, document types, and rule packs purpose-built for insurance.
Audit trail by default
Actions are logged and claims link to source. Assemble the evidence without the fire drill.
Access control and audit
Multi-tenant architecture with RBAC and audit logs. Tenant isolation is enforced in the application layer: each tenant-scoped route resolves your workspace membership and permissions before returning anything.
More Insurance use cases
Underwriting Automation
Extract risk indicators, financial metrics, and key exposures with confidence scores and source links.
Reinsurance Treaty Analysis
Clause and obligation extraction across treaties, each linked to its source, for side-by-side review.
Regulatory Reporting
Metrics link back to the cited source documents, with timestamps, for human review.
Run Claims Processing on DataStruct AI
Tell us what you're working with. We'll spin up a tailored workspace and walk your team through it.
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