# Financial services model risk ops kit

Use this kit to operate AI systems in financial services with evidence that risk, compliance, product, operations, and technology teams can review. It connects model purpose, authority, validation evidence, monitoring signals, approvals, incidents, and retirement planning.

## What it includes

- A control register for model purpose, authority, evidence, validation owner, monitoring signal, and audit cadence.
- An evidence log for validation runs, policy approvals, data lineage checks, incident reviews, and exception expiry.
- A risk schema for ownership, tiering, authority boundary, monitoring, validation, and retirement.
- A committee review brief for production readiness and accepted exceptions.
- An incident map for complaints, erroneous decisions, unauthorized actions, data leakage, and regulatory escalation.

## How to use it

Use the register before production release and update it after every material prompt, data, model, or policy change. Treat missing evidence as a hold condition for high-risk workflows. Keep exceptions visible until they expire or are formally reapproved.