Generative AI and Agentic Operations: Reliable, Scalable, Safe Systems

Generative AI and Agentic Operations: Reliable, Scalable, Safe Systems book cover

Generative AI and Agentic Operations: Reliable, Scalable, Safe Systems

Author(s): Krishna K. Chilukuri (Author)

  • Publisher Finelybook 出版社: Wiley
  • Publication Date 出版日期: September 22, 2026
  • Edition 版本: 1st
  • Language 语言: English
  • Print length 页数: 160 pages
  • ISBN-10: 1394451733
  • ISBN-13: 9781394451739

Book Description

Build, scale, and govern the next generation of autonomous AI agents

The real AI revolution is not in the models themselves, but in their application to the messy, complex, and vital work of running a business. The real challenge is not “how does an agent work?” but “how do I manage a team of people and agent operations?”

Generative AI and Agentic Operations: Reliable, Scalable, Safe Systems provides the missing blueprint for this transition. It offers a practical, operator-first guide to building and managing autonomous agents that don’t just replace rote tasks, but fundamentally augment and elevate human expertise. Central to this book is the Agentic Ops Lifecycle, a rigorous five-phase framework designed to take you from a fragile prototype to a resilient, production-grade system. Moving beyond traditional MLOps, this guide breaks down the “black box” of LLM reasoning and provides a structured approach to defining, building, evaluating, productionizing, and maintaining a non-deterministic digital workforce.

The book also provides:

  • Tactics for process re-engineering, showing how to consolidate complex workflows and unlock massive operational scale using agentic tools and reasoning loops.
  • Proven strategies for managing a blended “Human+Agent” workforce, shifting human operators from task execution to system supervision and exception handling.
  • A modernized approach to operational metrics and scorecards, moving beyond traditional handle times to measure holistic system quality, cost, and automation rates.
  • Essential frameworks for navigating the ethical and regulatory “grey areas” of AI, including mitigating systemic bias, halting “runaway agents,” and building robust security guardrails.
  • Practical insights and real-world case studiesdrawn from the front lines of transforming complex, large-scale data operations at Google Maps.

Written for the operations leaders, managers, and team leads tasked with integrating AI into their workflows, this book is also essential reading for the product managers and engineers designing these systems. It delivers the strategic vision and the operational depth needed to successfully navigate the Agentic Age.

Editorial Reviews

Editorial Reviews

From the Back Cover

Build, scale, and govern the next generation of autonomous AI agents

The real AI revolution is not in the models themselves, but in their application to the messy, complex, and vital work of running a business. The real challenge is not “how does an agent work?” but “how do I manage a team of people and agent operations?”

Generative AI and Agentic Operations: Reliable, Scalable, Safe Systems provides the missing blueprint for this transition. It offers a practical, operator-first guide to building and managing autonomous agents that don’t just replace rote tasks, but fundamentally augment and elevate human expertise. Central to this book is the Agentic Ops Lifecycle, a rigorous five-phase framework designed to take you from a fragile prototype to a resilient, production-grade system. Moving beyond traditional MLOps, this guide breaks down the “black box” of LLM reasoning and provides a structured approach to defining, building, evaluating, productionizing, and maintaining a non-deterministic digital workforce.

The book also provides:

  • Tactics for process re-engineering, showing how to consolidate complex workflows and unlock massive operational scale using agentic tools and reasoning loops.
  • Proven strategies for managing a blended “Human+Agent” workforce, shifting human operators from task execution to system supervision and exception handling.
  • A modernized approach to operational metrics and scorecards, moving beyond traditional handle times to measure holistic system quality, cost, and automation rates.
  • Essential frameworks for navigating the ethical and regulatory “grey areas” of AI, including mitigating systemic bias, halting “runaway agents,” and building robust security guardrails.
  • Practical insights and real-world case studiesdrawn from the front lines of transforming complex, large-scale data operations at Google Maps.

Written for the operations leaders, managers, and team leads tasked with integrating AI into their workflows, this book is also essential reading for the product managers and engineers designing these systems. It delivers the strategic vision and the operational depth needed to successfully navigate the Agentic Age.

About the Author

KRISHNA K. CHILUKURIis the Senior Manager for Strategy and Operations at Google Maps, where he is responsible for transforming Maps Data Operations using GenAI and Agentic solutions. With over thirteen years at Google and prior experience at Dassault Systems and other multinational companies, he brings deep operational expertise to the intersection of artificial intelligence and business process transformation.

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