This book is a practical guide to designing, building, governing, and scaling AI-native products powered by Agentic AI. Rather than treating agents as isolated technical components, the book presents Agentic AI as an enterprise productization challenge that spans product strategy, enterprise architecture, governance, AI economics, user experience, and operational excellence. Readers will learn how to identify high-value enterprise use cases, design intelligent workflows, build single-agent and multi-agent systems, integrate them into enterprise platforms, and establish the governance, security, and operational controls needed to deploy dependable AI products at scale. As organizations move beyond chatbots and copilots toward autonomous AI systems, this book provides a structured framework for transforming experimental AI capabilities into production-ready business solutions.
Organized around the complete product lifecycle, the book connects opportunity discovery, workflow design, enterprise architecture, service design, evaluation, AgentOps, governance, commercialization, and roadmap management into a single practical methodology. Through real-world examples and proven implementation patterns, it demonstrates how to measure business value, manage AI costs, incorporate human oversight, and build trust in autonomous systems while maintaining compliance and operational resilience.
You Will:
This book is for: AI product managers, product owners and enterprise product leaders
Biswajit Mohapatra
Autonomous AI Agents AI product management AI-native products Multi-agent systems Agent orchestration Human-in-the-loop AI Responsible autonomy AI governance operating model AI product strategy Enterprise Agentic AI AgentOps Agentic AI products