Using AI in an Audit:

Enhancing Audit Effectiveness and Efficiency

CPE Course for Auditors and Assurance Professionals

Training Introduction

Artificial Intelligence (AI) is rapidly reshaping the audit profession by providing new tools that enhance risk assessment, data analysis, and audit quality. This CPE course offers auditors practical insights into leveraging AI technologies to improve audit efficiency, accuracy and coverage.

Participants will explore how AI can be integrated into traditional audit processes, from planning and testing to reporting and monitoring. The course balances foundational AI concepts with hands-on applications and best practices for compliance, ethics, and data governance.

By the end of this program, auditors will be equipped to confidently apply AI tools in audits, optimize audit workflows, and contribute to innovative audit approaches.

 

Course Content

Module 1: Introduction to AI and Its Role in Auditing

Objective: Understand the basics of AI and its transformational impact on auditing.

• What is AI? Key concepts and terminology
• Overview of AI applications in auditing
• Benefits and challenges of using AI in audits
• Overview of AI tools commonly used by auditors
• Regulatory and ethical considerations

Module 2: AI Technologies and Tools for Auditors

Objective: Explore specific AI technologies and their audit applications.

• Machine learning, natural language processing, and robotics
• Data analytics and pattern recognition
• AI-powered anomaly and fraud detection tools
• Automation of routine audit tasks with AI
• Case examples of AI in real audit engagements

Module 3: Integrating AI into the Audit Planning Process

Objective: Learn how AI enhances risk assessment and audit planning.

• Using AI for risk identification and prioritization
• Predictive analytics to focus audit scope
• Leveraging AI for continuous risk monitoring
• Data quality considerations for AI inputs
• Developing AI-enabled audit plans

Module 4: AI-Driven Fieldwork and Evidence Collection

Objective: Apply AI tools during audit execution to gather and analyze evidence.

• AI techniques for data extraction and processing
• Automating substantive and control testing
• Using AI for sampling and exception identification
• Real-time data analysis and anomaly detection
• Documentation and validation of AI-generated evidence

Module 5: Evaluating and Validating AI Outputs

Objective: Assess the reliability and accuracy of AI audit results.

• Understanding AI model transparency and explainability
• Validating AI algorithms and outputs
• Managing risks related to AI errors or biases
• Human judgment vs. AI insights
• Quality assurance in AI-driven audit procedures

Module 6: Reporting and Communicating Audit Findings with AI Support

Objective: Effectively incorporate AI findings into audit reports.

• Presenting AI-derived insights clearly to stakeholders
• Translating complex AI outputs into actionable recommendations
• Ethical considerations in reporting AI results
• Addressing management queries related to AI analysis
• Enhancing continuous audit reporting with AI dashboards

Module 7: Ethical, Legal and Data Governance Considerations

Objective: Understand compliance and governance in AI-assisted auditing.

• Data privacy and security in AI audit tools
• Ethical use of AI in audits
• Compliance with regulations affecting AI applications
• Auditor independence and AI reliance
• Managing confidentiality and data ownership

Module 8: Future Trends and Building AI Capabilities in Audit Teams

Objective: Prepare audit professionals for evolving AI landscapes.

• Emerging AI trends in auditing and assurance
• Developing AI literacy and skills for auditors
• Building AI-enabled audit frameworks and centers of excellence
• Collaboration between auditors, data scientists, and IT teams
• Continuous learning and AI adoption strategies

 

Course Completion & CPE Credits

• Module quizzes and practical exercises
• Final assessment exam with real-world audit scenarios
• Certificate of Completion with CPE credit hours awarded

 

Target Audience

• Internal and external auditors
• Risk and compliance professionals
• IT auditors and data analysts
• Audit managers and leaders driving innovation
• Professionals interested in AI application in audit