Ken and Sagar delve into the challenges of using AI in audit, emphasizing the limitations of simply buying AI tools. It also explores the complexities of data governance, ownership, and access. Additionally, it touches on regulatory compliance and security frameworks, as well as the importance of investing in infrastructure and discipline.

Takeaways

• AI tools alone cannot solve audit issues
• Data governance and ownership are critical in audit
• Regulatory compliance and security frameworks are essential
• Investment in infrastructure and discipline is necessary for audit success

• f AI in Audit