As artificial intelligence rapidly becomes embedded in internal audit activities, traditional audit methodologies are being tested in ways they were never designed for. AI is already influencing how audits are planned, evidence is analysed, and conclusions are formed. Yet, most methodologies still assume a fully manual, repeatable audit process. This growing disconnect raises fundamental questions about evidence, professional judgement, review, and assurance credibility.
In this webinar, Parag Shah examines how internal audit methodology must evolve to remain fit for purpose in an AI enabled environment. Drawing on insights from the IIA Australia white paper Evolving Internal Audit Methodology in the Age of Artificial Intelligence (Part 1), the session explores where existing methodologies fall short, how AI changes the nature of audit evidence and re performance, and what practical adaptations internal audit leaders should be considering now. It also sets the foundation for the subsequent Part 2 of the series, which will delve deeper into more advanced AI use cases and emerging methodology challenges.
Through real world scenarios, the webinar provides a pragmatic, principles based view of how internal audit can embrace AI while maintaining rigour, transparency, and alignment with the Global Internal Audit Standards, supporting boards and executives with confidence as assurance models continue to evolve.
CPE Points: 1
Knowledge Level: All levels
Delivery Format: Zoom Online
IIA-Australia Member: $0.00 AUD
IIA-Australia Non-Member: $65.00 AUD
Presenter: Parag Shah
Parag Shah is a senior technology audit leader in the financial services sector with over 20 years of experience across technology risk, cybersecurity, and internal auditing. He has led internal audit teams responsible for auditing complex digital environments including cloud platforms, enterprise infrastructure, cybersecurity operations, and data platforms. Parag is the author of the IIA Australia White Paper Evolving Internal Audit Methodology in the Age of Artificial Intelligence and has a strong professional interest in how audit standards, methodology, and assurance practices must adapt as AI and agentic technologies become embedded in organisational decision making. His work focuses on helping internal audit functions balance innovation with rigour, defensibility, and adherence to the Global Internal Audit Standards.
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