A Practical AI Upskilling Model for Auditors

The Institute of Internal Auditors Presents: All Things Internal Audit

In this companion episode to the Global Best Practices' Internal Audit Upskilling for Critical AI Capabilities, Bryant Richards talks with Nancy Hom about how internal audit teams can build AI skills with intention, confidence, and discipline. Hom shares how her department has moved from broad AI awareness to practical, immersive learning that helps auditors both use AI in their work and audit it effectively. The conversation covers mindset, skill set, and tool set, along with real-world use cases, adoption challenges, human oversight, and why AI fluency may become a key differentiator for the future auditor     HOST: Bryant Richards, CIA, CRMA, CMA, PhD Partner, Ucran & Company, LLC  Associate Professor, Nichols College GUEST: Nancy Hom, CISA Vice President, Data, Analytics and AI, MetLife Global Audit

KEY POINTS:

Introduction [00:00-00:00:42] From AI Awareness to Immersive Learning [00:00:43-00:02:29] Mindset, Skill Set, and Tool Set [00:02:30-00:04:43] Building and Measuring an AI Learning Program [00:04:44-00:07:41] Defining Appropriate Tasks and Maintaining Human Oversight [00:07:42-00:09:38] Choosing AI Tools and Scaling the Audit Workflow [00:09:39-00:13:15] Communication, Delegation, and Validation [00:13:16-00:16:20] Using an AI Chatbot to Improve Issue Writing [00:16:21-00:19:26] Keeping Pace With Changing Tools and Learning Needs [00:19:27-00:22:20] Driving AI Adoption Across the Department [00:22:21-00:24:34] Maintaining Skepticism, Judgment, and Accountability [00:24:35-00:28:23] Expanding Internal Audit's Advisory Role [00:28:24-00:31:33] Hiring and Developing AI-Fluent Auditors [00:31:34-00:33:34] Final Thoughts [00:33:35-00:34:07]

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IIA RELATED CONTENT:

Interested in this topic? Visit the links below for more resources:

Global Best Practices: Internal Audit Upskilling for Critical AI Capabilities Global Internal Audit Standards Vison 2035 Knowledge Center: Artificial Intelligence

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