THE AI GOVERNANCE TOOLKIT
Five steps to effective AI governance
AI governance does not begin and end with a policy. Organizations need a coordinated way to identify where AI is being used, understand the risks it creates, establish appropriate controls, and maintain oversight as technologies and regulatory expectations evolve.
GRC provides the connective structure for this work. By bringing AI use cases, risks, obligations, controls, owners, and remediation activities into a common governance process, GRC teams can help the organization make consistent decisions and maintain clear accountability.
The AI Governance Toolkit organizes this work into five connected steps, creating an integrated path from organizational readiness to ongoing oversight.
- Step 1: Assess current AI governance maturity
- Step 2: Map your full exposure across all AI usage
- Step 3: Identify, assess, and prioritize AI risks
- Step 4: Define AI control requirements for relevant risks and obligations
- Step 5: Develop an accountable implementation plan for AI governance.
Download the complimentary guides to learn more.