AI-Supported Risk Appetite Monitoring

Purpose

AI-Supported Risk Appetite Monitoring is designed to continuously monitor risk indicators against pre-set thresholds and trigger new stress tests when conditions breach defined limits.

Primary users

The primary user is not specified. The agent is associated with AQS and owned by Ronan Davit.

Where it fits (process/stage/trigger)

This agent fits into the insurance risk monitoring process, where ongoing observation of risk appetite indicators is required and a breach of pre-set limits acts as the trigger for further stress testing.

Key capabilities / workflow

The workflow monitors relevant risk indicators, compares them against thresholds, checks whether the required data is available, and triggers a new stress test when a breach is detected.

Inputs

Inputs are not specified. The available dataset includes capital ratios, reserve adequacy metrics, loss emergence, and market indicators.

Outputs / Deliverables

Outputs are not specified. Based on the provided use case, the agent triggers new stress tests when risk conditions breach pre-set limits.

Value

The agent supports continuous risk appetite oversight by helping identify threshold breaches and initiating stress testing when market, capital, reserve, or loss emergence indicators move beyond defined limits.