AI Governance Framework Example (2026 Templates Included)

Why Generic Frameworks Aren't Enough

Most organizations understand they need AI governance but don't know what it looks like in practice. Frameworks from NIST and ISO describe what a governance program must achieve — not how to build one. This page provides a concrete example of how an AI governance framework is structured, what documents it requires, and how to implement it.

The EU AI Act adds a new layer: organizations must now classify AI systems by risk tier and implement controls that match that classification. A governance framework is the mechanism that makes this possible.

What a Complete Framework Includes

• A top-level AI governance policy establishing scope, principles, and ownership
• An AI model inventory documenting every tool and model in production or evaluation
• A risk assessment process that classifies each AI use case by risk tier
• An acceptable use policy governing employee AI usage
• Vendor due diligence procedures for third-party AI tools
• Data classification and handling guidelines
• An incident response procedure for AI-related events
• EU AI Act system classification and compliance documentation
• A monitoring and review cycle — quarterly for high-risk, annual minimum

What Causes Governance Frameworks to Fail

• Building a framework on paper without operational implementation
• Assigning governance to IT alone — it requires Legal, Risk, Compliance, and HR
• No board or senior management visibility — governance without executive accountability fails
• Treating the framework as static — it must evolve as AI tools and regulations change
• Ignoring low-risk AI tools — SR 11-7 requires inventory of all models