Managing Innovative AI Projects: Stop managing AI projects like traditional software. Start delivering real value.Artificial Intelligence can transform organizations—but only if projects are managed differently from traditional IT. This book provides a clear, actionable framework to navigate AI’s uncertainty and deliver measurable outcomes.
Inside, you’ll discover how to:
- Classify AI initiatives—from incremental optimizations to disruptive breakthroughs and citizen-led projects.
- Apply the AI Project Lifecycle (APLC)—a phase-gated process designed for AI’s unique risks and dependencies.
- Mitigate risks early—covering technical, ethical, and operational challenges with human-in-the-loop safeguards.
- Measure what matters—using a balanced scorecard of technical, business, operational, and ethical KPIs.
Unlike generic project management guides, this book is tailored for the realities of AI: probabilistic outputs, ethical considerations, and rapid technological shifts. It equips leaders, project managers, and practitioners with the
tools, tips, and practical aids needed to de-risk AI investments and scale innovation responsibly.
Whether you’re moving from pilot to production or steering enterprise-wide AI strategy, this book is your roadmap to turning potential into profit.