AI Model Inventory & Risk Classification

Purpose

AI Model Inventory & Risk Classification is designed to automatically scan systems to identify, classify, and risk-rank actuarial models for insurance-related model oversight.

Primary users

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

Where it fits (process/stage/trigger)

This agent fits into the actuarial model inventory and risk classification process, where systems need to be scanned to identify actuarial models and organize them by classification and risk level.

Key capabilities / workflow

The agent scans systems, identifies actuarial models, uses available model files, metadata, and validation logs as supporting evidence, then classifies and risk-ranks the models. If model evidence is incomplete or unclear, the workflow loops back to extract additional available information.

Inputs

Inputs are not specified in the provided information. The available dataset includes model files, metadata, and validation logs.

Outputs / Deliverables

Outputs are not specified in the provided information. Based on the stated use case, the deliverable relates to identified, classified, and risk-ranked actuarial models, but the exact output format is not specified.

Value

The agent supports insurance model governance by helping identify actuarial models across systems and organizing them by classification and risk level, reducing manual effort in model inventory and risk review activities.