Artificial Intelligence in Practice : For Management System Auditors: A Safe, Practical, and Future-Ready Guide for QMS, ISO, Internal, Supplier, Compliance, and Process Auditors Using AI for Audit
Language: English
Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026
- Softcover
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- Title
- Artificial Intelligence in Practice : For Management System Auditors: A Safe, Practical, and Future-Ready Guide for QMS, ISO, Internal, Supplier, Compliance, and Process Auditors Using AI for Audit
- Author
- Mohamed-Ali Ibrahim
- Publisher
- Amazon Digital Services LLC - Kdp Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798194060863
- Item weight
- 263 grams
- Dimensions
- 279x216x6 mm
A Safe, Practical, and Future-Ready Guide for QMS, ISO, Internal, Supplier, Compliance, and Process Auditors Using AI for Audit Planning, Risk Assessment, Evidence Review, Findings, Reports, and Responsible Audit Practice
IntroductionArtificial intelligence is changing how auditors prepare, organize information, review documents, develop questions, assess risks, and draft reports—but professional judgement, evidence, independence, confidentiality, and scepticism must always remain at the center of auditing.
Artificial Intelligence in Practice: For Management System Auditors is a practical, accessible guide that shows auditors how to use AI as a responsible professional assistant rather than as a replacement for the auditor.
Written specifically for management system and related audit professionals, this book explains how AI can support audit planning, risk assessment preparation, audit criteria organization, document requests, interview preparation, evidence-review checklists, finding wording, corrective-action follow-up, and report drafting.
Benefits of This Book- Learn how to use AI safely and responsibly in professional audit work.
- Improve audit planning and preparation.
- Create structured audit checklists and document-request lists.
- Develop stronger interview and process-walkthrough questions.
- Support risk-assessment preparation without replacing auditor judgement..
- Recognize AI hallucinations, invented standards, and unsupported conclusions.
- Strengthen professional scepticism and human review.
- Use ready-to-adapt AI prompts for common auditing tasks.
- Follow a practical 6-week plan for building responsible AI-supported audit routines.
Unlike general books about artificial intelligence, this guide is written specifically for management system auditors and closely related audit professionals.
It focuses on the everyday realities of auditing: audit criteria, evidence, scope, risk, interviews, document review, findings, corrective actions, reporting, confidentiality, independence, and professional responsibility.
You do not need to be an AI engineer, programmer, or data scientist.
Its core principle is simple:
AI may assist audit work, but the auditor remains responsible.
Who This Book Is ForThis book is ideal for:
- Management system auditors
- QMS auditors
- ISO auditors
- Internal auditors
- Supplier auditors
- Process auditors
- Compliance auditors
- Lead auditors
- Audit trainees
- Quality auditors
- External management system auditors
- Audit managers and audit team members
- Certification preparation teams
- Consultants supporting audits
- Compliance officers
- Risk professionals
- Process owners preparing for audits
- Environmental auditors
- Health and safety auditors
- Information security auditors
- Energy management auditors
- IT and operational auditors
- Students learning professional audit practice
- Professionals who want to develop safer and more responsible AI habits
Prepare for the future of auditing without compromising the principles that make auditing trustworthy.
Discover how to use artificial intelligence for better preparation, clearer documentation, stronger audit workflows, and improved productivity—while protecting evidence, confidentiality, independence, professional scepticism, and human judgement.
Buy your copy today and begin building a safer, smarter, and more future-ready approach to AI-supported auditing.
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