Catastrophe Exposure Storytelling
Purpose
Catastrophe Exposure Storytelling helps explain how changes in insurance portfolio exposure and catastrophe risk impact portfolio volatility, using AI models and GenAI-generated narratives based on provided catastrophe modeling and exposure-related datasets.
Primary users
The primary user is not specified in the provided information. The agent is associated with the AQS team and is intended for users working with insurance catastrophe exposure, risk impact, and portfolio composition analysis.
Where it fits (process/stage/trigger)
This agent fits into insurance catastrophe risk and exposure analysis workflows, particularly when catastrophe modeling results, exposure data, and peril maps need to be interpreted and translated into a narrative about portfolio composition and volatility.
Key capabilities / workflow
The agent analyzes exposure changes and catastrophe risk impact, checks whether available information is sufficient, validates whether the impact can be clearly explained, and generates a narrative describing how portfolio composition affects volatility.
Inputs
Typical inputs are not specified by the user. The provided datasets include catastrophe modeling results, exposure data, and peril maps.
Outputs / Deliverables
Outputs are not fully specified by the user. Based on the provided use case, the agent delivers a GenAI-generated narrative explaining exposure changes, catastrophe risk impact, and how portfolio composition affects volatility.
Value
The agent supports insurance portfolio analysis by turning catastrophe modeling and exposure information into an understandable story, helping users interpret the relationship between portfolio composition, catastrophe risk impact, and volatility.
