This guidebook offers a pragmatic roadmap that helps teams scale agentic AI across the enterprise, including digital product development. Part 1 follows a structured seven-day arc to guide professionals through RE fundamentals elaboration, documentation, quality assurance, and ongoing management while showing where GenAI adds real value. It contrasts agile and waterfall approaches and grounds theory in practice-ready examples. Part 2 explores the evolution of AI into the agentic era, emphasizing trustworthy and green AI as pillars for responsible adoption. It presents a playbook for scaling beyond pilots, reshaping operating models, and embedding agent engineering. A novel product-by-development-process matrix illustrates how agentic technologies enhance both digital products and the way they are built.

This book is specially designed to address the needs of product managers, requirements engineers, enterprise architects, and digital transformation leaders.

 

Structured and GenAI Enhanced Requirements Engineering: Prologue

Understanding the Need for Professional RE
Day 1: Starting Requirements Engineering
Day 2: Planning RE in the Project
Day 3: Finding a Starting Point
Day 4: Gathering Requirements
Day 5: Documenting Requirements
Day 6: Implementing Requirements in Agile Projects
Day 7: Quality Assurance and Requirements Management
From Requirements to Results: Key Take Aways
The AI Revolution: From Early Milestones to Generative and Agentic Intelligence
Trustworthy AI: Considerations on Ethics, Regulation, and Green IT
GenAI Transformation in Enterprises: From Use Cases to Cultural Change
Prompt and Agent Engineering
Connecting Requirements Engineering to Agentic Development
Final LLM Thoughts.