Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Generative AI and Agentic Operations: Reliable, Scalable, Safe Systems

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

Chilukuri, Krishna K.

Hardcover

Programming

PREORDER - Expected ship date September 22, 2026

ISBN10: 1394451733
ISBN13: 9781394451739
Publisher: Wiley
Published: Sep 22 2026
Pages: 160
Language: English

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 studies drawn 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.

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