A practical checklist that operationalises responsible-AI governance for a specific AI system or release, mapped to the NIST AI RMF functions and EU AI Act obligations. This is the AI Governance Checklist from the Stratenity Library, a governed consulting deliverable that is already built for you. It gives your team the full working method for AI governance, and it walks through everything from policy and standards inventory to data and privacy controls. 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 checklist covers
This is a preview of the full deliverable. Inside the Stratenity Library, this checklist walks a consultant through the complete method, section by section, with a worked client example threaded throughout.
- Governance Scope and Guiding Principles
- Roles, Accountability and the AI Governance Council
- Policy and Standards Inventory
- AI Risk Tiering and Classification
- Control Inventory and Checklist Structure
- Model Lifecycle Controls
- Data and Privacy Controls
- Regulatory Mapping: EU AI Act, NIST AI RMF and Sector Rules
- Monitoring, Audit and Assurance
- Incident Response and Escalation
- Governance KPIs and Reporting
- Risks, Assumptions, Issues and Dependencies (RAID)
- Rollout, Gate and Maturation
Review, download, and activate in 48 hours
Stratenity Library subscribers can review this checklist 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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