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 strategic execution asset 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 your team 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