The Agentic Product

How AI-Native Products Power Autonomous Enterprises
1. Auflage 2027
ISBN: 979-8-8688-3505-6
Verlag: APRESS L.P.

Buch, Englisch, Format (B × H): 178 mm x 254 mm

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

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Mohapatra, Biswajit

Saxena, Anshul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

Chapter 1: Understanding Agentic AI as a Product Paradigm.- Chapter 2: Opportunity Discovery for Agentic AI Products.- Chapter 3: Enterprise Readiness: Data, Knowledge, Tools, and Platform Foundations.- Chapter 4: Designing the Agentic Workflow and Human Boundaries.- Chapter 5: Prototyping Agentic AI Products.- Chapter 6: Enterprise Agentic Architecture Patterns.- Chapter 7: Productizing the Agentic Service.- Chapter 8: Metrics, Evaluation, User Experience, and Trust for Autonomous Products.- Chapter 9: AgentOps: Deployment, Monitoring, and Continuous Improvement.- Chapter 10: Governance Operating Model for Responsible Autonomy.- Chapter 11: AI Economics, ROI, Pricing, and Enterprise Adoption.- Chapter 12: Managing Delivery and Roadmap of the Agentic AI Product.- Chapter 13: Skills Framework for the Agentic AI Product Manager.- Chapter 14: Enterprise System Design Literacy and Moving Up the Value Chain.- Chapter 15: Future Outlook, Trends, and the Road Ahead.

Über Autor(innen)

An IIT Mumbai alumnus, Biswajit Mohapatra is a global technology leader, CXO advisor, author, educator, and inventor with more than three decades of experience in technology and enterprise transformation. His expertise spans Cloud, Data, AI, and Digital Transformation, integrating technology strategy, business transformation, and product engineering to help organizations turn emerging technologies into scalable business value.

He holds five granted patents, has authored eighteen publications, and has delivered more than fifty keynote presentations at leading technology conferences worldwide. His contributions have earned him twenty prestigious CIO awards. He is also the author of .

His perspective is grounded in the belief that technology creates lasting value when it moves beyond possibility into practice. He brings a practitioner’s lens to translating strategic intent into trusted, scalable agentic products that deliver meaningful enterprise outcomes.

Anshul Saxena is an educator, researcher, and author working at the intersection of applied AI, business management, digital transformation, and AI-enabled product strategy. He holds a PhD in Applied AI in Business Management and has worked on AI-based forecasting, generative AI applications, and practical AI education for management and technology learners. He is the author of  (Apress, 2024) and (Packt, 2023). He has also designed and delivered AI, analytics, and digital transformation training programs for faculty members, students, and industry professionals. His work combines management education, applied AI systems thinking, and practical technology adoption, positioning him to write a product-oriented book on how organizations can move Agentic AI from experimentation to reliable, governed, and scalable products.