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This is Part II of a two-part series from the AWS Generative AI Innovation Center. If you missed Part I, refer to Operationalizing Agentic AI Part 1: A Stakeholder’s Guide .

The biggest barrier to agentic AI isn’t the technology—it’s the operating model. In Part I , we established that organizations generating real value from agents share three traits: they define work in precise detail, they bound autonomy deliberately, and they treat improvement as a continuous habit rather than a one-time project. We also introduced the four ingredients of work that is truly “agent-shaped”: a clear start and end, judgment across tools, observable and measurable success, and a safe failure mode. Without these foundations, even the most sophisticated agent will stall in the lab.…

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