Infrastructure for Claims Reserve Recommendation & Accuracy

Reserve recommendation requires documented definitions of claim development patterns by injury type, loss category, and litigation status—what a soft-tissue claim with attorney representation typically costs to resolve vs. a surgical case. These parameters must be current and findable so the AI applies consistent reserve logic rather than mimicking individual adjuster tendencies. Reserve adequacy standards and escalation thresholds also require explicit documentation for the model to flag under-reserved claims.

Reserve accuracy models require automated capture of claim development milestones—medical treatment updates, attorney representation changes, litigation status, and settlement negotiations—as they occur, not at periodic review intervals. Reserve recommendations must incorporate the latest claim development data; when a claimant retains an attorney or a surgery is scheduled, those events must trigger automated data capture that updates the reserve model immediately rather than waiting for adjuster notes.

Reserve modeling requires formal ontology defining claim development trajectories: Claim.InjuryType + Claim.AttorneyStatus + Claim.TreatmentStage + Jurisdiction → ReserveAmount.Percentile. Without entity-relationship mappings connecting injury severity, medical cost trajectories, and litigation status to reserve distributions, the model cannot generate calibrated confidence intervals. Historical claims must be linked to final settlement outcomes with all intermediate development events as typed, traversable relationships.

Reserve recommendation requires API access to the claims system (current reserves, development history), medical bill payment records, legal management (litigation status, defense costs), and actuarial benchmarks. These must be queryable at the point of reserve review to generate real-time recommendations. Legacy claims platform constraints limit real-time programmatic access, but API-level connections to core development data sources are required for the model to incorporate current claim state.

Reserve adequacy benchmarks must reflect current medical cost inflation, jurisdiction-specific verdict trends, and regulatory reserving requirements. When surgical costs increase 8% in a quarter or a jurisdiction experiences a nuclear verdict shift, the reserve model must incorporate these updates within days. Near-real-time maintenance of medical cost indices, legal trend data, and actuarial development factors prevents systematic under-reserving that creates financial statement exposure.

Reserve recommendation integrates the claims system, payment ledger, medical bill review platform, legal management, and actuarial reporting systems via API. Each contributes essential reserve context: current payments from the ledger, medical cost projections from bill review, litigation probability from legal management, and actuarial benchmarks for IBNR contribution. Without connected systems, reserve recommendations are based on claims-system data only—missing medical cost trajectories and litigation status that are the strongest reserve predictors.