Introduction to Agentic Artificial Intelligence (AI) – Part 3

This is our third and final segment covering the topic of Agentic AI. 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 During Session one of Agentic AI, we covered: Defined Agentic AI Assessed governance and oversight frameworks Examined traditional AI vs. Generative AI vs. Agentic AI and what makes AI agentic Identified the core characteristics of autonomous AI agents and autonomous decision-making concepts Examined Governance Frameworks for Agentic AI Evaluated Key Technologies for agentic AI In Session two our session objectives included: 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 Session three focuses deeper on truly developing a risk-based approach to using Agentic AI along with providing some practical business applications of Agentic AI within finance, accounting and audit.