K2's Agentic AI vs. Generative AI: What Accountants Need to Know Now

Overview

This course explains the critical differences between Generative AI and the emerging class of Agentic AI systems. While generative tools focus on content creation and augmentation, agentic systems are designed to plan, act, monitor outcomes, and iterate toward objectives-often with limited human intervention. Accounting professionals will learn how these technologies differ, where each is appropriate, and how agentic AI will reshape accounting workflows, controls, risk management, and advisory services.

Highlights

Risk, Governance, and Professional Impact. Control considerations, ethical and compliance risks, and how agentic AI will reshape accounting roles, workflows, and advisory opportunities., Generative AI Foundations. How content-creation AI works, where it fits in accounting workflows today, and its strengths and limitations in professional use cases., Agentic AI Systems and Capabilities. How agentic AI differs architecturally and behaviorally from generative AI, including goal-driven execution, autonomy, and real-world accounting applications.

Prerequisites

None

Designed For

Business professionals seeking to apply Agentic AI workflows who understand Generative AI platforms.

Objectives

Differentiate generative AI from agentic AI using functional and architectural criteria, Identify accounting and business use cases suited to generative AI versus agentic AI, Evaluate risks, governance considerations, and control implications of agentic systems, Recognize how Agentic AI may alter accounting roles, workflows, and firm economics

Preparation

None