Artificial Intelligence is rapidly transforming how organizations detect risk, analyze data, and monitor operations. This one-day course introduces internal auditors to practical ways AI can enhance the audit function, particularly in risk-based auditing and continuous auditing.
Participants will explore key branches of AI—including machine learning, natural language processing, and generative AI—and understand how these technologies can support audit planning, risk identification, anomaly detection, and ongoing control monitoring. Through real-world banking and financial services examples, the course demonstrates how AI tools can help auditors analyze large datasets, identify emerging risks, and automate parts of the audit workflow while maintaining professional skepticism and governance oversight. The session also addresses the limitations, risks, and governance considerations associated with using AI in internal audit.