AI for Practical Project, Program, and Change Management is a practical guide for leaders, PMOs, project managers, program managers, change leaders, CIOs, consultants, and transformation teams who want to use AI without weakening delivery discipline.

AI can summarize meetings, draft project reports, compare schedules, analyze risks, prepare documentation, detect weak signals, and support executive reporting. But AI does not replace ownership, judgment, governance, stakeholder management, testing, adoption, benefits realization, or accountability.

This book explains how to apply AI across the project, program, PMO, and change-management lifecycle while keeping human responsibility clear. It shows how to strengthen project governance, build an AI-enabled PMO, prioritize portfolios, manage complex programs, control scope, improve planning, track risks and decisions, govern vendors, prepare for go-live, manage adoption, and prove value after implementation.

Written as a practical playbook, this guide focuses on the operating disciplines that make transformation succeed: evidence, decision rights, accountable owners, validated status reporting, risk escalation, user readiness, benefits tracking, and responsible AI use.