As AI adoption expands across the enterprise, organizations need clear governance to ensure AI systems are secure, transparent, compliant, and aligned with business objectives. Establishing consistent policies, accountability, and risk management practices helps teams deploy AI responsibly while maintaining trust and regulatory compliance.

The AI Governance Checklist provides practical guidance to help organizations evaluate AI governance readiness, strengthen oversight, and support the responsible adoption of AI across the enterprise.

Strengthen Responsible AI Adoption

Effective AI governance requires a coordinated approach across strategy, risk management, data governance, model oversight, compliance, and ongoing monitoring. Aligning these practices helps organizations improve transparency, manage AI risks, and build reliable AI systems that support long-term business value.

This checklist highlights the key considerations for establishing a scalable AI governance program that supports responsible innovation and enterprise-wide AI adoption.

When to Use This Checklist

Use this checklist when you’re developing AI applications, deploying generative AI solutions, establishing enterprise AI governance, or scaling AI initiatives across business functions. It serves as a practical reference for evaluating governance practices, identifying potential gaps, and supporting responsible AI adoption throughout the AI lifecycle.