This book, "Program Management in the Age of AI: Modern Techniques Beyond Traditional Methods," is born out of a desire to bridge the gap between traditional program management practices and the cutting-edge capabilities of AI. With over two decades of experience in Program & Project Management, Program Governance and Transformation, I have witnessed firsthand the challenges and opportunities that come with managing large-scale programs. I have seen how traditional methods, such as those defined by PMP and ITIL, while robust, often fall short in addressing the complexities of today's projects. This experience has driven me to explore and embrace AI as a powerful ally in program management.
Throughout this book, I aim to provide a comprehensive guide for program managers, project leaders, and business executives who are keen to understand and leverage AI in their work. We will delve into the core concepts of AI, explore its applications in various aspects of program management, and offer practical insights and strategies for integrating AI into your projects. From enhancing decision-making and risk management to optimising resource allocation and improving quality control, this book will equip you with the knowledge and tools needed to harness the full potential of AI.
In writing this book, I have drawn upon my extensive experience working with Fortune 100 companies and leading large-scale transformations. I have also conducted in-depth research and engaged with industry experts to ensure that the insights and strategies presented here are both relevant and actionable. My goal is to demystify AI and make it accessible to program managers at all levels, regardless of their technical background.
The structure of this book is designed to guide you through the journey of integrating AI into your program management practices. We will start with an introduction to AI, its capabilities, and its relevance to program management. From there, we will explore specific applications of AI in different areas of program management, supported by real-world examples and case studies. Each chapter will provide practical tips and actionable steps to help you implement AI in your projects.