Introduction
Getting started with AI and auditing
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1. How Does AI Fit into the World of Data Auditing?
Definition of AI and the types of AI techniques
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Benefits of leveraging AI in audits
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2. Challenges of Implementing AI in Auditing
Implementation considerations
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Data privacy and security
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Data quality and professional skepticism
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3. The Audit Process
The phases of an audit
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4. Building an AI-Driven Audit
Anomaly detection
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Predictive analytics
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Optical character recognition (OCR)
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Natural language processing (NLP)
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Sentiment analysis
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5. Microsoft 365 Copilot
Introduction to AI tools for auditing
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GenAI for planning
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GenAI for fieldwork
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GenAI for reporting
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Next steps
Continue learning about auditing with AI
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Ex_Files_AI_Data_Audit.zip
(200 KB)