Exposure Accumulation Monitoring

Purpose

Exposure Accumulation Monitoring is designed to identify and quantify geographic and peril accumulations using spatial analytics and ML clustering for insurance exposure monitoring.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS team and the insurance industry context.

Where it fits (process/stage/trigger)

This agent fits into exposure monitoring and accumulation analysis processes where policy locations, insured values, hazard maps, and catastrophe model outputs need to be assessed for geographic and peril concentration.

Key capabilities / workflow

The workflow uses spatial analytics and ML clustering to analyze policy locations, insured values, hazard maps, and catastrophe model outputs, then identify and quantify geographic and peril accumulations.

Inputs

Typical inputs include policy locations, insured values, hazard maps, and catastrophe model outputs. Additional input requirements are not specified.

Outputs / Deliverables

Outputs are not explicitly specified, but the provided use case states that the agent identifies and quantifies geographic and peril accumulations.

Value

The value of Exposure Accumulation Monitoring is to support insurance accumulation monitoring by using spatial analytics and ML clustering to better understand concentration across geography and peril.