MRM P&C - AI-Powered Model Documentation Gap Detector

Purpose

MRM P&C - AI-Powered Model Documentation Gap Detector is designed to identify missing documentation or inconsistent sections across model files, using model documentation and validation templates as provided reference material.

Primary users

The primary user is not specified. The agent is associated with the AQS Team/BU and has Ronan Davit listed as owner.

Where it fits (process/stage/trigger)

This agent fits into model documentation review activities where model files need to be checked against available documentation and validation templates to detect gaps or inconsistencies.

Key capabilities / workflow

The agent analyzes model files, checks whether documentation is missing, reviews sections for inconsistency, compares available content against validation templates, and delivers findings based on detected documentation gaps or inconsistencies.

Inputs

Inputs are not specified. The provided dataset includes model documentation and validation templates.

Outputs / Deliverables

Outputs are not specified. Based on the provided use case, the agent identifies missing documentation and inconsistent sections across model files.

Value

The agent supports documentation quality checks by helping surface missing or inconsistent model documentation elements, enabling more structured review of model files in an insurance context.