Infrastructure for First Notice of Loss (FNOL) Automation & Triage

FNOL automation requires explicit documentation of triage routing rules—which severity indicators route to fast-track, what claim characteristics trigger SIU referral, how fraud red flags at intake are defined. These rules must be current and findable for the AI to make consistent routing decisions across auto, property, and casualty claims without adjuster intervention. Regulatory requirements for timely claim acknowledgment and fair claims handling mandate documented FNOL procedures.

FNOL automation requires systematic capture of claimant input across all intake channels—mobile app submissions, voice AI transcriptions, chatbot conversations—with consistent structured extraction of loss date, location, description, and photos linked to the claim record. Template-driven workflows ensure every FNOL channel captures the same required fields, enabling consistent severity scoring and triage regardless of intake method.

Automated triage requires formal ontology mapping Claim to LossEvent to CoverageType to AdjusterQueue with explicit severity and complexity rules. The AI must evaluate: Claim.InjuryReported = TRUE AND Claim.LossType = AutoCollision AND Claim.EstimatedDamage > $15K → Route.ComplexBodilyInjuryQueue. This requires machine-readable entity definitions and routing constraint rules, not just tagged claim records, to enable consistent autonomous triage across thousands of daily FNOLs.

FNOL automation requires API access to the policy administration system (coverage verification), claims core system (claim creation and routing), fraud detection databases, and adjuster workload management. These connections enable the AI to verify coverage in real-time, create the claim record, score severity, and assign to the appropriate adjuster queue within a single automated workflow at point of policyholder contact.

FNOL triage rules must update when routing logic changes (new claim types added, adjuster specializations restructured), fraud patterns evolve, or severity thresholds are recalibrated based on actual outcomes. Event-triggered maintenance ensures that when a new catastrophe event triggers a surge routing protocol or a new fraud pattern is identified by SIU, the FNOL triage logic updates before the next wave of related claims arrives.

FNOL automation must integrate intake channels (mobile app, IVR, chatbot), policy administration (coverage verification), claims core system (record creation), fraud detection, and adjuster workload management via API-based connections. These connections allow a single FNOL submission to trigger coverage check, claim creation, severity scoring, fraud screening, and adjuster assignment without manual handoffs between systems.