This practical two-day course explains how artificial intelligence can support internal auditors and fraud investigators throughout the engagement lifecycle—from planning and evidence analysis to drafting findings, documenting investigative results and preparing final reports. Participants will learn how to improve writing quality, organise complex evidence, develop defensible findings and produce concise, professional and decision-focused reports.

Learning Objectives

By the end of this certification, participants will be able to:
* Explain how AI can support internal audit and fraud investigation reporting.
* Use AI to develop engagement objectives, scopes, work programmes and reporting structures.
* Convert testing results and investigation evidence into clear, evidence-based findings.
* Draft audit observations using criteria, condition, cause, consequence and recommendation.
* Prepare fraud investigation findings that distinguish facts, allegations, analysis and conclusions.
* Use AI to summarise interviews, documents, transactions and supporting evidence.
* Draft executive summaries, detailed reports, management actions and investigation conclusions.
* Review AI-generated content for accuracy, confidentiality, bias and unsupported statements.
* Apply effective prompt-writing techniques for audit and investigation reporting.
* Establish governance and quality-control procedures for responsible AI-assisted reporting.