The "AI Transformation in Internal Audit Masterclass" addresses the growing importance of AI technology in the audit function. As highlighted by the Risk in Focus 2024 survey from the Institute of Internal Auditors, 33% of Chief Audit Executives across Europe now consider AI a top-10 risk, reflecting its potential impact on the field.
Despite this recognition, many internal audit teams have yet to fully integrate generative AI technologies into their processes. This course aims to bridge that gap, providing both theoretical knowledge and practical experience with AI tools that are reshaping audit methodologies.
Participants will learn to apply AI in key areas such as risk assessment, fraud detection, and compliance monitoring. The course demonstrates how generative AI can serve as a capacity multiplier, enhancing the efficiency and accuracy of audit processes.
Beyond technical skills, the masterclass focuses on strategic implementation. It equips audit professionals to guide their organizations through AI-related risks and compliance issues, positioning internal audit as a crucial partner in technological innovation.
By the conclusion of this course, attendees will be prepared to lead the integration of AI into their audit processes, delivering enhanced value to their organizations and adapting effectively to the evolving technological landscape in internal audit.
Implement Generative AI in Audit Processes: Apply cutting-edge AI tools to enhance audit efficiency and accuracy.
Conduct AI-Powered Risk Assessments: Utilize advanced AI techniques for improved fraud detection and risk management, including predictive analytics in audits.
Ensure AI-Enhanced Compliance: Develop strategies to maintain regulatory compliance while leveraging AI, addressing ethical considerations and reputational risks.
Deliver Strategic AI Insights: Translate AI-driven audit outcomes into actionable insights for stakeholders, aligning with organizational goals and board assurance needs.
Design AI Integration Frameworks: Create and implement best practices for AI adoption in audit processes, including strategies for continuous improvement and future trend adaptation.
Evaluate AI-Related Risks: Identify and mitigate potential threats associated with AI implementation in audit functions, balancing opportunities with risk management.
Upskill Audit Teams: Develop strategies for training and upskilling audit professionals in AI technologies, ensuring long-term sustainability of AI initiatives.
Assess AI Governance: Provide assurance on AI processes and outcomes, aligning with organizational governance structures and board expectations.
Adrian Resag is a leading expert in internal audit, governance, risk, and compliance (GRC), focusing especially on information security and compliance related to artificial intelligence governance and ISO standards. He is the Academic Director of OCEG, the organization that pioneered and developed and concept of GRC. He has a strong background in leading international teams at major companies, which he brings into the educational courses he teaches. Since 2005, Adrian has been teaching at various universities and professional institutions, both in-person and online. He is also an author of educational materials, including certifications and courses on risk management, GRC, audit, assurance, compliance, and ethics, helping professionals enhance their skills and understanding in these areas.
