Artificial Intelligence for Audit, Forensic Accounting, and Valuation: A Strategic Perspective

45.90

ISBN : 9781119601883.
Catégorie : .
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Strategically integrate AI into your organization to compete in the tech era

The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond.

No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind.

  • See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services
  • Learn how to build AI into your organization to remain competitive in the era of automation
  • Go beyond siloed AI implementations to modernize and deliver results across the organization
  • Understand and overcome the governance and leadership challenges inherent in AI strategy

Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities.

Table of contents

Preface

Acknowledgments

Part One: Foundations for AI and Audit

Chapter 1: Introduction: Staying Ahead of the Emergent Risk

Chapter 2: Fourth Industrial Revolution and Its Impact on Audit

Chapter 3: What Is Artificial Intelligence?

Chapter 4: Rise of Machine Learning

Chapter 5: Machine Learning

Chapter 6: Building an IAA Audit Firm: The Planning Toolkit

Part Two: Building the Automated Audit Function in the Enterprise

Chapter 7: Obtain, Retain, and Pre-Plan with AI

Chapter 8: Automated Inherent Risk Assessment

Chapter 9: Automating Internal Controls Assessment

Chapter 10: Automated Procedures

Chapter 11: Reporting and Post Audit Management

Part Three: Forensic Accounting Automation

Chapter 12: Intelligent Automation of Fraud Detection

Chapter 13: Forensic Accounting

Chapter 14: Managing for Value and Valuation

Chapter 15: Tying it Together and Robots

Part Four: Management, Organization, and Governance for AI in Audit

Chapter 16: Client Management

Chapter 17: AI Organization and Project Management

Chapter 18: Governance and Ethics