A framework for tiering AI use cases by risk, from low-stakes to high-stakes, and setting the governance, review, and controls each tier requires. 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 the four risk dimensions that determine tier to operating the framework across the model lifecycle. 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.
- Context, Scope and Objectives
- Approach and Methodology
- The Four Risk Dimensions That Determine Tier
- Tier Definitions and the Classification Logic
- The Proportionate Control Set at Each Tier
- Governance Triggers and Escalation
- Operating the Framework Across the Model Lifecycle
- Performance and Outcomes
- Findings and Insights
- Recommendations and Roadmap
- Value Realisation Framework
- Risks, Assumptions, Issues and Dependencies (RAID)
- Governance and Next Steps
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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