Practical Guide

The Practical AI Governance Guide

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Your roadmap to responsible, scalable AI.

Scaling AI in your organization? With growing AI regulations and risks, responsible AI governance is more important than ever. The Practical AI Governance Guide gives you clear, actionable steps to manage AI systems with confidence and stay compliant.

What’s Inside the Guide

1.

What AI Governance Really Means

  • A clear definition of AI governance and why it matters
  • How it helps reduce risk, support compliance, and drive better decisions
2.

How to Put AI Governance in Place

  • Ways to adapt your current tools and workflows
  • Tips for aligning governance with your tech and business teams
3.

Who Owns AI Governance

  • How to define roles and responsibilities
  • Building a culture of accountability and ethical AI use
4.

The 3 Stages of Effective AI Governance

  • Organizational Setup: Policies, frameworks, and team structure
  • AI Intake: Assessing new AI for risk and compliance
  • Ongoing Oversight: Monitoring, gathering evidence, and managing change

Governance should not be seen as a barrier to innovation.‍ If done right, it will enable it.

Navrina Singh, Founder & CEO
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Resources

AI Governance 101

AI Literacy: Driving Trust in AI Adoption

AI Governance 101

What everyone is getting wrong about AI Governance

AI Governance 101

The Responsible AI Stack: Connecting Governance to Action