Manoj Agarwal
Unlocking Internal Audit Productivity: Leveraging AI to Core Processes and Beyond Mandate Demands

Explore how AI can transform audit productivity by reducing time spent on documentation and administration, freeing auditors to focus on judgment, analysis, and advisory roles. This session highlights practical audit use cases across the internal audit cycle, from risk based planning and scoping to fieldwork, fraud detection, reporting, and follow up. Discover how generative AI can draft audit plans, create risk control matrices, and detect anomalies, while human oversight ensures context, priorities, and judgment remain central. Learn how playbooks, continuous audit risk assessment, and compliance advisory can be accelerated with AI, helping auditors meet rising demands beyond assurance. A roadmap for balancing automation with expertise, saving time, and strengthening audit’s role as a trusted advisor.