Workshop 1: Exploring Generative AI for Internal Audit (Morning Session – 8.30 am to 12.30 pm)

Program Overview:
This workshop will provide an overview of AI and generative AI (genAI), focusing on their potential applications in internal auditing. Topics include key opportunities, risks, and challenges, such as ethical, legal, and regulatory considerations. Participants will gain practical insights into how to effectively deploy genAI at scale while navigating responsible AI implementation in audit practices.

Learning Outcomes:
At the end of the course, participants will:

• Understand the basics of AI and generative AI.
• Identify opportunities and challenges in using genAI for internal audits.
• Evaluate ethical, legal, and regulatory considerations for AI implementation.
• Learn how to scale AI in audit environments while mitigating associated risks.

Topics Covered:

• Introduction to AI and Generative AI
• Opportunities for Use in Internal Audit
• The Good, the Bad, and the Ugly
• Ethical, Legal, and Regulatory Requirements
• Minimum viable product (MVP) to move to production: Risks, Technology, People, and Process
• AI at Scale
• Q&A

Workshop 2: Advanced Applications of Generative AI in Internal Audit (Afternoon session – 01.30 pm to 05.30 pm)

Program Overview:
This advanced session focuses on practical applications of Generative AI in internal audit, particularly prompt engineering, automated control testing, and auditing processes. Through hands-on exercises and real-world case studies, participants will learn how AI tools enhance the audit process, from scoping and planning to drafting reports and identifying key issues.

Learning Outcomes:
At the end of the course, participants will:

• Master the three main types of prompt engineering for AI tools.
• Understand variations in large language models (LLMs) and their impact on auditing.
• Apply AI to audit scoping, planning, and automated controls testing.
• Learn best practices for drafting reports and identifying key issues during the audit process.

Topics Covered:

• A guided on how to write prompt 
• A series of exercise including using large language models (LLMs) to write audit scopes and generate risk and control matrices;  to complete automated controls testing, draft issues, findings and recommendations etc.
• Q&A