Workflow 06 — Decision Governance
Model Risk & AI Governance.
Every model decision — deploy, override, retire — governed against SR 11-7 and emerging AI expectations.
The shared decision anatomy
Every Decision Governance Workflow follows the same five-step structure. The Model Risk & AI Governance workflow uses it like this:
- Signal. Model proposal, performance threshold breach, or AI capability request from a business unit.
- Owner. Model Risk Officer, with line-of-business model owner and validation function.
- Decision. Deploy / restrict / retire / require remediation, with documented validation evidence.
- Action. Model placed in inventory with controls, monitoring active, change history maintained.
- Outcome. SR 11-7 and AI-governance expectations met with a live record, not an annual binder.
01
Signal
02
Owner
03
Decision
04
Action
05
Outcome
Apex linkage
Strategic & Board Decisions inherit operational evidence from this workflow. Decisions made in Model Risk & AI Governance flow upward to the apex layer automatically, so a board-level capital, risk-appetite, or strategic-plan decision ties back to the operational record beneath it.
How to start
Per-workflow subscription is the entry point. Subscribe to the Model Risk & AI Governance workflow at $99/mo and onboard in days, not weeks. For multi-workflow scope or apex linkage, talk to us about the Risk Bundle or Enterprise tier.