Steven Proctor

AI in Internal Audit: Building an AI Fluent Audit Function to Move From Generative Tools to Agentic Testing

Explore how AI is reshaping the very core of internal audit, moving beyond efficiency gains to fundamentally changing how evidence is obtained, assessed, and concluded. This session highlights a five step maturity model, from basic prompting to agentic testing, and reveals practical use cases such as virtual audit managers, automated quality assessments, and risk monitoring.
Discover how AI can accelerate cycle times, enhance consistency, and free auditors to focus on higher value insights. Learn why this technological shift is different from past innovations, what barriers remain, and how to overcome them with assurance first design and behavioral adoption. A roadmap for auditors ready to embrace AI as a true partner in delivering scalable, high quality assurance.