Inventory every AI use case. Tier risk. Govern with the same data model as your controls.
AI governance isn't a separate workflow. Track AI use cases, classify their risk against the standards your auditor recognizes (NIST AI RMF, ISO/IEC 42001, EU AI Act), and route high-risk approvals through the same review chain as your security controls.
Built for the audit your AI use case will eventually face.
AI use case registry
Catalogue every AI use case across your organization — what it does, what data it touches, who owns it, what model it uses. Real registry, not a spreadsheet.
- Per-use-case ownership + lifecycle status
- Linked policies and approval records
- Vendor relationships when third-party
Risk tiering against real standards
Classify each use case against NIST AI RMF, ISO/IEC 42001, the OECD AI Principles, and the EU AI Act risk tiers. Reviewer assigns the final tier; AI suggests starting point.
- NIST AI RMF · ISO/IEC 42001 · EU AI Act mappings
- Risk tier inheritance from data sensitivity + model class
- Approval routing tied to tier
Approval workflow tied to controls
High-risk AI use cases route through the same approval workflow you use for new controls or policies. Reviewers see linked policies, evidence, and risk records side-by-side.
- Tier-driven approval routing
- Linked to your control library
- Audit trail captured automatically
Three steps from setup to value.
Add use case
Catalog AI use cases as they're proposed — model, data, owner, vendor. Effy suggests classification based on data sensitivity and intended use.
Classify and route
Reviewer confirms or adjusts the risk tier. Higher-risk uses auto-route through extended approval and link to required policies.
Monitor in production
Once approved, the use case lives in your governance program — periodic reviews, incident reporting, decommission lifecycle. Same audit guarantees as any other control.
"Procurement started asking us our AI governance program before approving new SaaS purchases. Having a real registry tied to NIST AI RMF — not a Notion doc — closed three deals last quarter."