Reinsurance P&C - Emerging Risk Signal Detection

Purpose

Reinsurance P&C - Emerging Risk Signal Detection is designed to identify early signals of new or changing risk patterns in property and casualty reinsurance, including examples such as climate-related developments and litigation trends, using external and internal data sources specified in the provided information.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS Team/BU, and the listed owner is Ronan Davit.

Where it fits (process/stage/trigger)

This agent fits where emerging risk patterns need to be monitored and assessed for P&C reinsurance, particularly when changes may appear across news feeds, social media, claim trends, or macroeconomic indicators.

Key capabilities / workflow

The agent aggregates available datasets, analyzes them for potential emerging risk signals, checks whether new or changing risk patterns are present, validates the signal against trend information, and delivers a signal summary when validation is complete.

Inputs

Inputs are not specified in the provided information. The available datasets listed for this use case are news feeds, social media, claim trends, and macroeconomic indicators.

Outputs / Deliverables

Outputs are not specified in the provided information. Based strictly on the stated use case, the deliverable relates to identifying early signals of new or changing risk patterns, but the exact output format is not specified.

Value

The agent supports earlier awareness of emerging or evolving P&C reinsurance risks by monitoring specified internal and external data sources for signals related to climate, litigation trends, and other changing risk patterns.