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What you’ll learn

Understand the 6 Superpowers of Intelligent Autonomous Agents

Learn the difference between RPA, LLMS and Intelligent Autonomous Agents

Discover how to teach agents to perform high value skills

Identify the enabling technologies leveraged to build agents

Recognize the anatomy of an Intelligent Autonomous Agent

Get introduced to the Machine Teaching Methodology

About the Author

Kence Anderson

Author

Kence Anderson is the world’s leading expert on creating industrial strength autonomous agents using skill-based AI building blocks. The founder and CEO of Composabl, Kence was formerly the director of Autonomous AI Adoption at Microsoft, and has designed over 150 autonomous decision-making AI systems for large enterprises. He is the author of Designing Autonomous AI (O’Reilly).

“Let me fill you in on a little secret I learned while designing autonomous AI systems for dozens of Fortune 500 companies: the real cornerstone of the autonomous enterprise is the ability to make complex, nuanced decisions that take humans decades to master. These decisions require intelligence characteristics like perception, strategy, learned decision making, and deductive reasoning. Humans used to be the only ones who could make these decisions; but now, by enabling AI technologies, it’s possible to build intelligent agents that perform at a human level on high-value enterprise tasks.” - Kence Anderson

A better and more autonomous future

Your journey to the autonomous enterprise is your own, and it will be different in every company and organization. But if you follow the blueprint laid out in this report, you will find yourself navigating this journey with more purpose, confidence, and success, creating value in your enterprise and a better and more autonomous future.

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The Missing Ingredient in the Autonomous Enterprise