AI for Auditors: Sampling, Evidence, and Documentation

Audit is about judgment, not just data. This book shows you how to use AI for sampling, evidence gathering, and documentation without compromising professional standards. You will learn when to trust AI-generated insights, how to verify them, and where the line sits between efficiency and duty. No hype, no vendor promises — just practical guidance on briefing tools, checking output, and staying compliant with confidentiality and regulatory requirements. From designing audit samples with machine assistance to documenting AI use in working papers, every chapter addresses the real risks: privilege, data protection, and the auditor's ultimate accountability. Written for qualified practitioners who need to know what works, what fails, and what must never be automated. Part of The AI at Work Library.

About the author

Ryan Okafor Steele writes for The AI at Work Library.

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E-bog: 28. september 2026