AI for Model Risk Management and Validation

Purpose

AI for Model Risk Management and Validation automates the validation and monitoring of financial models to help ensure that risk models remain accurate and up-to-date.

Primary users

The primary user is specified as Both, within the FRM context. Please refer to internal documentation for any further distinction between user groups.

Where it fits (process/stage/trigger)

This agent fits into model risk management activities where financial models require validation, monitoring, documentation checks, challenger comparisons, exception tracking, and sign-off workflows.

Key capabilities / workflow

The agent automates documentation checks, challenger comparisons, performance drift monitoring, stability monitoring, validation test tracking, exception tracking, audit-ready change log generation, and workflow support for sign-off.

Inputs

Typical inputs include model outputs, historical performance data, documentation, and internal model validation datasets.

Outputs / Deliverables

Typical outputs include validation reports, drift alerts, audit logs, tracked validation tests, tracked exceptions, and audit-ready change logs.

Value

The agent supports more efficient and consistent model validation by automating monitoring, documentation review, exception tracking, and audit-ready reporting for financial model risk management.