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The Agentic Enterprise : Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure (English Edition) - Nitin Kumar

The Agentic Enterprise

Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure (English Edition)

By: Nitin Kumar, Vipin Kataria

Paperback | 30 May 2026

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Agentic AI, which refers to autonomous systems that plan, reason, and execute across complex workflows, is no longer experimental. It is reshaping cost structures, customer experiences, and competitive hierarchies across every major industry. For executives, the question is no longer whether to act. It is whether to lead or be displaced.

This book delivers the strategic frameworks, financial models, and industry battle plans executives need to move from experimentation to market leadership. It covers the shift from automation to true agency, ROI modeling for agentic investment, macroeconomic and workforce transformation, industry-native deployment templates across financial services, retail, healthcare, telecommunications, and manufacturing, and intelligent automation infrastructure design that helps market leaders succeed.

By the end of this book, C-suite leaders will be equipped to assess organizational agentic maturity, build board-level investment cases, architect competitive infrastructure, and deploy autonomous AI as a compounding strategic advantage.

WHAT YOU WILL LEARN

â-� Optimizing multimodal streaming AI architectures.

â-� Applying agent-native performance ROI metrics.

â-� Build AI infrastructure that creates lasting competitive moats.

â-� Managing national labor market disruptions.

â-� Deploying 90-day strategic leadership sprints.

â-� Executing sector-specific transformation battle plans.

WHO THIS BOOK IS FOR

This book is for business executives, digital transformation leaders, enterprise architects, and AI/ML professionals looking to adopt AI agents to transform CX, operations, and ROI. Readers should be familiar with AI fundamentals; no deep coding is needed, but experience with APIs, cloud platforms, or LLM-based systems is helpful.

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