Model quality assurance P&C - GenAI Model Documentation Reviewer

Purpose

Model quality assurance P&C - GenAI Model Documentation Reviewer supports model quality assurance by summarizing, in plain language, why two models, specifically an internal model and a reviewed model, yield different results.

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 involved in reviewing or understanding differences between model results in an insurance context.

Where it fits (process/stage/trigger)

This agent fits into a model quality assurance or model review process, particularly when comparative results are available for an internal model and a reviewed model and users need an understandable explanation of the differences.

Key capabilities / workflow

The agent analyzes comparative model outputs, reviews assumptions and input data, checks whether the differences are clear and supported, and generates a plain-language summary explaining why the two models produce different results.

Inputs

Inputs are not specified in the provided information. Available dataset information includes comparative model outputs, assumptions, and input data.

Outputs / Deliverables

Outputs are not specified in the provided information. The stated use case indicates that the agent delivers a plain-language summary explaining why the internal and reviewed models yield different results.

Value

The agent helps make model comparison outcomes easier to understand by translating differences between model results into plain language, supporting clearer model quality assurance discussions in an insurance context.