A framework to classify AI systems into risk tiers and attach proportionate controls, aligned to the EU AI Act risk categories and the NIST AI RMF. This is the AI Risk-Tier Framework from the Stratenity Library, a governed consulting deliverable that is already built for you. It gives your team the full working method for AI risk-tier, and it walks through everything from tier definitions: prohibited, high, limited, minimal to human oversight and escalation by tier. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.
What this framework covers
This is a preview of the full deliverable. Inside the Stratenity Library, this framework walks a consultant through the complete method, section by section, with a worked client example threaded throughout.
- Purpose and Scope of AI Risk Tiering
- Risk Dimensions and Contributing Factors
- Tier Definitions: Prohibited, High, Limited, Minimal
- Classification Method and Decision Tree
- Regulatory Mapping: EU AI Act and NIST AI RMF
- Control Requirements by Tier
- Human Oversight and Escalation by Tier
- Documentation and Evidence by Tier
- Tier Assignment Workflow and Roles
- Reassessment and Change Triggers
- Governance and Assurance
- Risks, Assumptions, Issues and Dependencies (RAID)
- Rollout and Adoption
Review, download, and activate in 48 hours
Stratenity Library subscribers can review this framework in full, download it, and activate it into a governed, client-ready deliverable in 48 hours rather than weeks. Each asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend.
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