Infrastructure for Weather & Catastrophe Risk Evaluation

Catastrophe risk evaluation requires explicit, current documentation of underwriting restrictions by peril and geography—which wildfire risk scores trigger non-renewal, which flood zones require specific endorsements, which wind zones restrict new business. These guidelines must be findable and current; when FEMA updates flood maps or wildfire risk scores change, the documented restrictions must reflect the new thresholds. Without L3, underwriters apply undocumented judgment inconsistently across applications.

Weather and catastrophe risk evaluation requires systematic capture of property geocodes, catastrophe model outputs by peril, real-time weather data queries, and the underwriting decisions triggered by each risk score. Template-driven capture at FNOL and at policy application ensures every property has geocode and hazard score recorded in structured form. Without systematic capture, the AI cannot build or validate the property-level hazard scoring models.

Cat risk evaluation requires formal ontology mapping Property.Geocode to Peril.HazardScore (Wildfire.RiskTier, Flood.Zone, Wind.SpeedZone) with explicit relationships to Underwriting.Restriction and ReinsuranceTreaty.Coverage. The AI must evaluate: IF Property.WildfireScore > 7 AND Portfolio.ConcentrationZone.Exposure > $50M THEN Apply.Restriction—this requires machine-readable entity definitions and constraint rules across geographic, hazard, and portfolio dimensions.

Catastrophe risk evaluation requires API access to real-time weather services, third-party cat model outputs (AIR, RMS), property geocoding services, and the underwriting system during the application workflow. These API connections enable the AI to query current wildfire containment status and hurricane track forecasts at point of submission, enabling dynamic underwriting restrictions when active perils threaten specific geographies.

Catastrophe risk evaluation depends on current hazard data: wildfire risk scores update seasonally, FEMA flood maps update annually or after major events, and hurricane track forecasts update every 6 hours during storm season. Event-triggered maintenance ensures that when a new FIRM panel is published or a wildfire risk score update is released by a third-party vendor, the underwriting restriction thresholds and property-level scores refresh automatically.

Weather and catastrophe risk evaluation must integrate the underwriting system (property characteristics), geocoding services (latitude/longitude), third-party cat models (PML curves), real-time weather APIs (active storm data), and claims system (historical loss validation). API-based connections between these systems allow the AI to assemble property-level hazard assessments and trigger portfolio concentration alerts without manual data assembly.