eBook Preview & What You’ll Learn
AI is fundamentally changing how work gets done, and Internal Auditors have a critical opportunity to help organizations adopt AI responsibly while strengthening governance, managing risk, and creating business value. Boards and executive teams urgently need trusted advisors who can provide independent assurance and practical guidance on AI governance. In fact, Internal Audit’s ability to credibly advise organizations on AI use and governance is critical for ensuring our profession’s ongoing relevance.
Every Internal Auditor already has the risk mindset, objective perspective, independence, curiosity, and risk, controls, process, and change management expertise needed to do this work. But where should you begin? What should an AI governance review actually include? And how can you develop the knowledge and confidence to start asking the right questions in your organization?
In The AI Governance Playbook for Internal Audit, Internal Audit Collective founder Tom O'Reilly brings together insights and practical, real-world guidance from more than 50 Internal Audit practitioners. We asked ourselves, “What do Internal Auditors need to get started?” The answers are in this eBook.
Download your copy of the eBook for actionable insights and how-to guidance on:
Defining Internal Audit's role in AI governance and identifying high-impact assurance and advisory opportunities
Planning and executing AI governance reviews, including project scopes, use case inventories, risk or gap assessments, policy creation, RCM creation, controls testing, reporting, monitoring, training/awareness, and more
Applying practical frameworks, governance principles, and real-world examples to help you accelerate your AI governance journey
Project examples, leading practices, and lessons learned from Internal Auditors with AI governance projects completed or underway
You already have the skills you need. This eBook gives you the foundational AI governance knowledge you need to (1) start having the right conversations with the right stakeholders, and (2) start planning and executing your first AI governance project.
