Building an AI-Driven Audit

Traditional audit approaches are a thing of the past, and with recent advancements in AI technologies, auditors should be aware of the possibilities. In this course, instructor Monica Royal explores some of the capabilities of artificial intelligence and how it is revolutionizing the way audit teams perform audits. Learn what other audit teams are doing to enhance their audits by leveraging AI technologies to increase productivity and improve the quality of their work. This course is an ideal fit for auditors and audit managers who are looking for strategic ways to stay apace with technological advancements and deliver more meaningful insights to the business.

Learning objectives
Analyze how different types of AI techniques can enhance the efficiency and effectiveness of data auditing processes.
Evaluate potential challenges and risks when implementing AI systems in auditing workflows, particularly regarding data quality, privacy, and system integration.
Apply various AI tools and techniques—predictive AI, GenAI, NLP, forecasting, and OCR—to specific phases of the audit process to improve outcomes.
Design an AI-driven audit approach that aligns with traditional audit methodology while leveraging appropriate AI technologies for each phase.
Develop a strategic plan for continuing professional development in AI-enhanced auditing practices.