Claims and coverage
Claim-denial rationale, coverage communication, claims adjudication support, and document sufficiency review.
AI governance for insurance claims, underwriting, fraud, and customer communications before outputs become business consequence.
OntoGuard evaluates whether an AI-generated rationale, recommendation, or communication may move toward a claimant, adjuster, underwriting workflow, or downstream record. It supports authorized decision-making; it does not replace licensed or delegated insurance decision-makers.
Claim-denial rationale, coverage communication, claims adjudication support, and document sufficiency review.
Underwriting recommendations, fraud-review escalation, exception routing, and workflow-scope clarification.
Customer communication and human-adjuster support where authority and closure must remain visible.
| Matched source | Decision relevance | Evidence posture |
|---|---|---|
| Policy clause A — coverage condition | Defines the condition asserted in the rationale | ● Evidence linked |
| Policy clause B — exclusion language | May limit the proposed coverage conclusion | ◇ Review pending |
| Policy clause C — notice requirement | Controls customer-facing explanation and timing | ◇ Authority pending |
The rows are intentionally separate. A generic single citation label must not conceal multiple matched clauses.
Records assignment, qualification, authorization, completion, override, and closure rather than treating queue entry as review completion.
Records the decision, matched clauses, evidence state, route, release status, no-bind posture, and selected audit artifacts.
Starts from representative claims outputs, rationale text, logs, workflow labels, and intended release states.
Production route completeness requires real endpoint enforcement, replay evidence, fail-closed behavior, and outcome closure.
Requires evidence-supported reasoning, applicable clause visibility, and authorized claims review before customer release.
Must remain within policy language, evidence, delegated authority, and the selected communication route.
Recommendations may assist a qualified decision-maker but must not silently become an autonomous binding decision.
Risk indicators can route a case for investigation without asserting misconduct or creating an unsupported adverse effect.
All matched clauses remain separately visible. The packet distinguishes evidence available, missing, and conflicting; reviewer assignment, qualification, delegated authority, decision, override, and closure; and whether the attempted release formed the protected effect.
Representative claim, coverage, underwriting, or fraud-review outputs; intended movement and audience; evidence and clause references; workflow labels; and examples of current adjuster or reviewer outcomes.
No automatic coverage determination, claims certification, universal production non-bypassability, guaranteed regulatory compliance, or replacement of authorized adjusters, underwriters, legal, or compliance functions.
When a claim or coverage example matches several policy or regulatory clauses, each matched clause remains visible as its own evidence row. BM25 can expose exact language and identifiers, while semantic grounding relates each passage to the claim facts and proposed rationale. A high-ranked match is not treated as a coverage conclusion. The packet records which clauses support the proposed reasoning, which conflict, which are merely contextual, and which still require an authorized adjuster or reviewer to determine applicability.
Human-review closure records the reviewer role, delegated authority, evidence considered, revised or rejected rationale, release decision, and outcome state. Until those elements are closed, the customer-facing communication remains withheld in the controlled proof environment.