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Thank you for purchasing the MEAP edition of Architecting for Autonomy. We are delighted to have you with us while the book is still taking shape.

You may be reading this book because you are being asked a difficult question: how do we move from impressive AI agent demos to autonomous systems that can safely work inside a real enterprise?

Or perhaps someone recommended it to you. Or asked you to review it. Or you thought, “Well, I should probably find out what autonomy means before the next strategy meeting.”

However you arrived here, welcome.

The problem is real. Once AI systems can use context, call tools, remember interactions, collaborate with other agents, and take action, architecture becomes more important, not less. You need to decide what an agent is allowed to do, what data it can use, when a human must approve, how actions are traced, and how failure is contained before it reaches customers, operations, or compliance.

We wrote this book to help you make those decisions with more confidence.

You do not need to be a machine learning researcher to benefit from it. You will get the most from the book if you work with enterprise architecture, solution architecture, software delivery, data, cloud, security, governance, product ownership, or business process design.