Model Governance & Validation Automation

Purpose

Model Governance & Validation Automation supports model governance activities by testing model performance and consistency, then using GenAI to write validation narratives and findings reports based on the available model information.

Primary users

The primary user is not specified. The provided owner is Ronan Davit, and the associated team or business unit is AQS.

Where it fits (process/stage/trigger)

This agent fits into model governance and validation processes, particularly when model metadata, performance metrics, and documentation need to be reviewed to assess performance consistency and produce validation reporting.

Key capabilities / workflow

The agent analyzes model performance and consistency using the provided model metadata, performance metrics, and documentation, then generates validation narratives and findings reports. If required information or consistency checks are incomplete, the workflow loops back to review the model data again.

Inputs

Typical inputs are model metadata, performance metrics, and documentation. Other specific inputs are not specified.

Outputs / Deliverables

The outputs are validation narratives and findings reports. Other specific outputs are not specified.

Value

The agent helps streamline model validation work by automating performance and consistency testing and accelerating the preparation of governance-ready validation narratives and findings reports.