AI agents for insurance operations
Faster claims. Cleaner files. Happier adjusters.
Every claim is a document pile with a deadline. MavenThink agents read FNOLs, medical records, estimates, and policy files; assemble the complete picture; and hand adjusters a triaged, evidence-linked case instead of a folder of PDFs.
Sound familiar?
- Claims cycle times stall on document review
- Underwriting submissions arrive incomplete and inconsistent
- Fraud signals hide in unstructured attachments
- State regulations demand explainable, auditable decisions
What teams automate first
Claims intake & triage
Extract loss details from FNOL documents, classify severity, verify coverage against the policy file, and route complex claims to senior adjusters.
Underwriting file review
Check submissions for completeness, extract risk-relevant data, and summarize exposures with citations for underwriter judgment.
Medical record summarization
Condense hundreds of pages into chronologies with page-linked citations for bodily injury claims.
Subrogation discovery
Agents scan closed files for recovery opportunities and assemble the supporting evidence for specialists.
Compliance posture
State-regulation ready
Explainable extractions with citations and human sign-off on coverage decisions support fair-claims requirements.
Adjuster-in-the-loop
Coverage and settlement decisions always carry a human signature — enforced by approval gates.
Full decision lineage
From first notice to settlement, every automated and human step is traced and exportable.
Frequently asked questions
Can the platform process handwritten claim forms and photos?
OCR handles scans and handwriting; document-understanding models extract structured data with confidence scores. Photos and attachments are cataloged with the claim file.
How does triage decide which claims need senior adjusters?
You define the rules and thresholds; agents apply them consistently and escalate by severity, coverage ambiguity, or fraud signals — with their reasoning attached.
Will this satisfy our market-conduct examiners?
Every decision carries lineage: the documents read, the data extracted, the human who approved. Exportable audit trails are a platform primitive, not an add-on.