White Paper - Evolving Internal Audit Methodology in the Age of AI - Part 2

Whitepaper

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Author

Parag Shah

Date

2026

Topics Explored

Internal Audit, Internal Audit Management, Emerging Technologies and Artificial Intelligence

Format

White Paper

Extract/Description

This paper offers a practitioner’s view on how methodologies adopted by internal audit functions, largely designed for manual and deterministic internal audit work, are becoming misaligned with AI-enabled practices, and how they can evolve to address these gaps while preserving rigour and enabling responsible innovation.

This paper provides further Interpretation, Guidance, and Practical Considerations to the questions posed in Part 1.

Key Points

  • Redefining evidence and documentation standards when using AI
  • Prompt governance aspects to consider
  • Review expectations and quality assurance processes
  • Consistency, transparency and disclosure of AI use
  • Maturity assessment of internal audit methodology using an evolution framework.

Relevant Industries

All

Level of Assumed Knowledge

Intermediate

Aligned to Global Internal Audit Standards

Yes