Regulatory Reporting
with AI
Metrics link back to the cited source documents, with timestamps, for human review.
Solvency II, NAIC, and PRA reporting requires traceable evidence for every disclosure.
Metrics link back to the cited source documents, with timestamps, for human review.
Assemble the evidence your reviewers need without the fire drill.
How DataStruct AI delivers Regulatory Reporting
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.
Claims Processing
Extract claim facts and coverage terms with source links, and route items to a reviewer for decision.
Reinsurance Treaty Analysis
Clause and obligation extraction across treaties, each linked to its source, for side-by-side review.
Run Regulatory Reporting on DataStruct AI
Tell us what you're working with. We'll spin up a tailored workspace and walk your team through it.
Book a demo