Introduction

Most learning teams have already lived through two waves of AI. Rules-based automation handled the repetitive tasks, and generative AI produced a draft on request. Agentic AI is the third wave, and it changes what AI does for learning and development. Instead of generating a draft when asked, an agent is given a goal, works out the steps, uses the systems it needs, checks its own output, and comes back to a person when judgment is required.

This practical field guide from Liberate sets out a jargon-free definition of agentic AI, shows where it earns its place across the learning lifecycle, and walks through eight use cases drawn from manufacturing, healthcare, aviation, retail, sales, and service. It closes with a realistic path to a first pilot, so learning leaders can move from understanding the idea to putting it to work.

eBook Overview

• The Next Evolution of AI in Learning
• What Agentic AI Actually Is
• Where the Value Sits in L&D
• Eight Use Cases Across the Learning Lifecycle
• Building an AI-Augmented Learning Ecosystem
• Getting Started
• Key Takeaways
• About Liberate

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