The operating problem
A claims team repeatedly checks incoming submissions against a document checklist while finding the policy wording applicable to the reported event. The workflow is not simply a question-answering task: it requires a reliable relationship between business entities, current evidence, and the review responsibilities of staff.
A claim can arrive before all documents are available, and policy wording may differ by endorsement and coverage period. A useful initial scope therefore focuses on assembling the right context and making missing information visible. It avoids treating a generated answer as an approved business decision.
The proposed data foundation
Potential inputs include claim submissions, policy documents, correspondence, approved rules. Establish a source inventory before choosing connectors. For each input, record its owner, approved use, identifier conventions, update cadence, and retention requirements.
Keep claim-to-policy relationships, document version, event date, and extraction confidence. Route missing evidence rather than inferring it. The curated domain model centers on Policy, Claim, Coverage period, Supporting document. Keep raw source evidence separate from validated records and from the outputs prepared for a reviewer. This separation makes reconciliation and incident investigation more manageable.
AI and agent responsibilities
Extract submitted fields, flag missing documents, and prepare a review packet. A permission-aware retrieval layer can assemble the relevant approved context. Extraction or generation should return structured drafts, source references, and unresolved questions; it should not silently supply facts that are absent from the records.
Retrieve policy context and draft service responses for staff review. A second bounded responsibility can handle a related task while retaining the same identity and governance boundary. Multi-agent coordination is optional: use it only when separated responsibilities improve traceability or control.
Human review and exception paths
Coverage, underwriting, and settlement decisions remain with authorized insurance personnel. Missing documents, conflicting records, unavailable tools, and low-quality retrieval should lead to a visible exception. Define who can resolve each exception and what evidence must be retained with the decision.
How the scenario would be evaluated
Proposed evaluation areas: field extraction correctness, checklist completeness, policy-reference accuracy, and exception routing quality. Build a representative set containing normal cases, incomplete cases, outdated information, access restrictions, and tool failures. Compare the assisted workflow with the current process using the same acceptance criteria.
No percentage improvement, cost saving, or production result is asserted here. Any future benefit estimate should follow a measured baseline and a reviewed pilot, including the effort required to correct outputs and handle exceptions.
A focused next step
Agree one workflow, one accountable owner, a limited source set, and a review protocol. Use the first prototype to identify data gaps and operational changes, then decide whether additional integrations are justified.