AI can now produce credible demos, prototypes, and proof-of-value concepts faster and more cheaply than most enterprises can absorb. Yet far fewer ever reach production. Building the Agentic Enterprise is a practical field guide to closing that gap: identifying which ideas are worth pursuing and designing the architecture, controls, and operating model needed to make agentic systems reliable, governable, and repeatable.







Drawing on two decades of experience across cloud, microservices, and AI, and three years of taking agentic systems into real-world delivery, the book shows why the model is only one part of the challenge. Using Google Cloud and ADK as the practical lens, a continuous case study grounds the patterns, trade-offs, and decisions in a realistic production setting.







You will learn how to design agent architectures, orchestration, context, memory, security, observability, governance, and evaluation, while building an AI Squad Model where human experts supervise specialized agents within clear boundaries. The book then expands to the platform and operating model required to scale safely across an organization.







By the end, you will be able to judge where agents create real business value, choose the right level of autonomy, and build an agentic capability your organization can trust, operate, govern, and scale.