Course summary
Artificial Intelligence in Audit and Financial Reporting equips professionals with the knowledge needed to understand, evaluate, and govern AI in modern audit and finance environments. Whether you are assessing emerging risks, improving reporting processes, or building stronger oversight, this course will help you navigate AI with confidence.
Build the knowledge you need to apply AI responsibly in audit and financial reporting.
Artificial Intelligence is rapidly transforming the audit profession and the financial reporting environment. From automated transaction analysis and anomaly detection to generative AI supporting documentation and disclosures, AI tools are expanding the ability of auditors and finance professionals to analyze data, identify risk, and enhance reporting processes.
But adopting AI is not just about efficiency. Auditors and finance leaders must understand how to use AI responsibly while maintaining professional skepticism, audit quality, and compliance with evolving regulatory expectations.
This course explores how AI is currently being used in audit and financial reporting, the benefits and risks associated with its adoption, and how organizations can establish appropriate governance, controls, and oversight.
Why take this course?
AI is changing the way audit and financial reporting work gets done. Professionals who understand both the opportunity and the risk will be better positioned to lead.
In this course, you will gain a practical understanding of how AI can support audit procedures, financial analysis, and reporting activities, while also learning how to evaluate governance, ethics, and control implications.
What you’ll learn
By the end of this course, you will be able to:
- Define artificial intelligence and explain how AI technologies are used in audit and financial reporting
- Explore frameworks for artificial intelligence adoption
- Identify key areas where AI can enhance audit procedures, risk assessment, and financial analysis
- Examine an audit checklist of procedures to use when evaluating artificial intelligence
- Identify applications for artificial intelligence in financial reporting
- Examine a case scenario for an artificial intelligence risk assessment
- Examine a case scenario that includes developing an artificial intelligence risk heat map
Who should attend
This course is designed for:
- Internal auditors
- External auditors
- Finance and accounting professionals
- Controllers and financial reporting teams
- Risk and compliance professionals
- Leaders responsible for AI governance and oversight
Key takeaways
- A practical understanding of AI in audit and financial reporting
- A clearer view of the benefits and risks of AI adoption
- Frameworks for responsible AI implementation
- Tools to evaluate AI through audit procedures and control lenses
- Real-world examples you can apply in your organization
Field: Auditing | Delivery Method: Self Study | CPE Hours: 1.0
Your instructor
I’m a CPA, CGMA, CRMA, MBA, and former Chief Audit Executive with 40+ years across public accounting, industry, and consulting—16 of those leading internal audit, risk, and process improvement. I’ve built SOX programs and modernized audit functions, and I translate that experience into practical guidance on using analytics, automation, and emerging AI to strengthen financial reporting, controls, and fraud detection. My focus is making complex concepts clear and actionable so you can apply AI with confidence and sound governance.
I’ve authored hundreds of courses and three books—Leading the Internal Audit Function, Raise the Red Flag, and Ethics and the Internal Auditor’s Political Dilemma—grounding my teaching in real cases and ethical considerations. I’m passionate about partnering with professionals to turn strategy into results through risk‑aware innovation. BSBA, Pittsburg State University; MBA, Washburn University; active CPA, CGMA, and CRMA. www.lynnfountain.net