This course provides a concise overview of agentic artificial intelligence and its emerging role in audit and assurance. Participants will examine how AI agents differ from traditional generative AI by planning tasks, using software tools, taking actions, and completing multi-step workflows with limited human intervention. The course explores current audit applications, including substantive procedures, confirmations, risk assessment, disclosure testing, and continuous monitoring, while addressing new risks involving autonomy, permissions, prompt injection, multi-agent systems, and accountability. Participants will also examine regulatory developments, professional standards, controls, evidence requirements, ethics, liability, and the strategic implications of agentic AI for audit firms. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.