Agentic AI refers to autonomous AI systems that don’t just answer prompts but break down complex goals, create actionable plans, execute tasks independently using external tools, and reflect on their work.  Transitioning from static chatbots to proactive, self-directing workflows, Agentic AI represents a massive leap in how we leverage artificial intelligence to get real-world work done

Unlike traditional chatbots that output text based solely on their training data, Agentic AI systems rely on an iterative "decide → act → observe" loop

This course is Part 2 in a series of 3 webinars on Agentic AI.  We will continue our exploration of Agentic AI and what concepts are connected to it.  We will also evaluate how it is important to Audit, Finance, and Accounting professionals

Lesson Objectives

• Identify internal control considerations related to AI-driven decision-making
• Examine an AI Internal Control Case Study
• Discuss the evolving role of finance and audit professionals in supervising and validating autonomous AI outputs.