The Project Management AI Handbook Leveraging Generative Tools in Waterfall and Agile Environments

by Vinueza, Gustavo; Kodukula, Prasad

• ISBN13: 9781604272055
• ISBN10: 1604272058
• Format: Hardcover
• Copyright: 2025-07-29
• Publisher: J. Ross Publishing

Summary

The Project Management AI Handbook: Leveraging Generative Tools in Waterfall and Agile Environments is an essential guide for project and portfolio management professionals, business leaders, and anyone interested in using generative AI to enhance project management. Packed with use cases and prompts, this book illustrates how AI tools can be applied through real-world case studies that mirror actual projects and portfolios. Whether you are managing projects using waterfall or agile methods, this book demonstrates how generative AI can automate tasks, streamline documentation, generate project plans, forecast risks, and optimize project performance with greater efficiency and accuracy. With its practical examples, step-by-step use cases, and expert insights, this book is a must-have resource for professionals at any level who are ready to integrate AI into their project management practices.

Author Biography

Gustavo “ Guz” Vinueza, M.S., MBA, is a seasoned technology and risk management consultant with over 20 years of experience across multiple industries. A sought-after speaker and thought leader, he regularly presents at high-profile forums such as PMI, AACE, INFORMS, and SPE. Dr. Prasad Kodukula, PMP, PgMP, DASM, DASSM, BCES, is a PMI Fellow, USA Today best-selling author, renowned thought leader, inventor, and entrepreneur with over four decades of experience. As a global ambassador for project management, he has delivered lectures in nearly 50 countries and collaborated with 40 Fortune 100 companies— including Abbott, BP, Caterpillar, Dow, IBM, JPMorgan Chase, Kraft, and United Technologies— spanning all 11 S&P industrial sectors.

Table of Contents

Section 1: AI in Project Management: Basics Chapter 1: Introduction Chapter 2: Introduction to AI in Project Management Chapter 3: Generative AI Chapter 4: Generative AI Engagement Chapter 5: AI Use Cases for Everyday Project Tasks Section 2: AI in Portfolio Managements Chapter 6: Project Portfolio Management Essentials Chapter 7: AI Use Cases in Portfolio Management Section 3: AI in Waterfall Environment Chapter 8: Project Management Essentials Chapter 9: AI Use Cases in Initiation Phase Chapter 10: AI Use Cases in Planning Phase Chapter 11: AI Use Cases in Project Execution Chapter 12: AI Use Cases in Closeout Phase Section 4: AI in Agile Environments Chapter 13: Agile Essentials Chapter 14: AI Use Cases in Agile Scrum Artifacts Chapter 15: AI Use Cases in Agile: Scrum Ceremonies Chapter 16: Final Thoughts— Embracing the Future of Project Management with AI References Index