The Agentic Product

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:

• Identify high-impact enterprise workflows where Agentic AI can create measurable product advantage, operational efficiency, and business value
• Design AI-native products around agent goals, workflow automation, tool use, memory, orchestration, enterprise controls, and human in the loop
• Build and productize single-agent and multi-agent systems that can move from prototype to dependable enterprise service
• Evaluate agentic products across task success, reliability, safety, latency, cost per completed task, escalation rate, trust, adoption, and business value
• Launch, govern, monetize, and scale autonomous agents and agentic AI products through AgentOps, responsible autonomy, AI economics, roadmap discipline, and go-to-market strategy

This book is for: AI product managers, product owners and enterprise product leaders