This course is delivered as a recorded video. After completing all sessions, you must pass the final exam with a minimum score of 70% to receive credit.

This course introduces accounting, auditing, and finance professionals to the emerging field of agentic AI: autonomous, goal-driven systems capable of planning, acting, and learning with minimal human intervention. Participants will explore how agentic AI differs from traditional automation (RPA) and generative AI, and how these agents are being deployed in finance and accounting. The course emphasizes foundational concepts such as the Perceive–Reason–Act–Learn (PRAL) loop and ethical decision-making frameworks. To ground abstract ideas in practice, participants will experience a brief agent simulation using basic ChatGPT, showcasing how natural language prompts can emulate agentic behavior, such as goal setting, clarification loops, and structured task execution. The course also highlights real-world agent platforms (e.g., Microsoft Copilot, IBM watsonx, and UiPath) to provide context on enterprise adoption trends and discusses emerging global regulations such as the EU AI Act and the U.S. Executive Order on Safe AI.