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Workflow 06 — Decision Governance

Model risk & AI governance.

Governed model and AI decisions — inventory, validation, monitoring, and retirement — with rationale and performance evidence.

Tier
Material
Primary role
Model Risk Officer
Available in
Risk Bundle+

What goes wrong without it

Model inventory incomplete

AI tools and end-user spreadsheets often get used in decisions before they hit the inventory.

Performance drift unmonitored

Models pass validation once but performance over time isn't always tracked against thresholds.

AI governance lags adoption

New AI use cases get deployed faster than the governance framework can catch up.

The shared decision anatomy

Every workflow follows the same five steps. Here’s how model risk & ai governance uses them, with the artifact captured at each step.

01 Signal
New model request, validation trigger, performance threshold breach, or AI use-case proposal. New gen-AI tool proposed for member-service triage.
→ Model event record
02 Owner
Model Risk Officer; Model Risk Committee for material models. SR 11-7 / OCC 2011-12 tiering drives routing.
→ Owner + committee
03 Decision
Approve / condition / decline, with validation findings, limitations, and intended use documented.
→ Model decision memo
04 Action
Implementation, monitoring cadence, and override authority captured.
→ Action log
05 Outcome
Model performance tracked against assumptions. Drift, overrides, and retirements on the record.
→ Outcome record

What you’ll see

A live view of every item, its owner, its deadline, and the evidence behind its current status.

Model & AI inventory — Q2 2026 Sample

Models in use

23

AI use cases

6

Drift alerts

2

Overdue validation

1

Model Use Owner Review Status
MDL-014 CECL — commercial portfolio A. Park May 10 Validation overdue
MDL-021 Deposit attrition — retail A. Park Jun 18 Drift detected
AI-007 Gen-AI member-service triage F. Bautista Jul 01 Pre-deployment
MDL-009 Auto-decisioning, consumer loans F. Bautista Apr 22 Validated

Evidence captured

Model documentation + intended use
Validation findings + limitations
Performance + drift monitoring
Decision rationale
Override + retirement log
AI risk + ethics review

Built for the Model Risk Officer

Replaces the model inventory spreadsheet, the validation report library, and the ad-hoc AI use-case email approvals. Gives the MRO one register covering both traditional models and AI use cases.

Apex linkage

Strategic & Board Decisions inherit operational evidence from this workflow. Decisions made here flow upward to the apex layer automatically — a board-level capital, risk-appetite, or strategic-plan decision ties back to the operational record beneath it.

Feeds the apex workflow →

How to start

Per-workflow subscription is the entry point. Subscribe to the model risk & ai governance workflow at listed price and onboard in days, not weeks. For multi-workflow scope or apex linkage, talk to us about the Risk Bundle or Enterprise tier.

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