Most AI projects fail because they treat "Value" like a finish line. 🏁

In the world of enterprise transformation, value isn't a "nice-to-have" finish line—it is the thread that holds the entire project together. If you lose sight of it at any point, the whole fabric unravels. In my upcoming book, "The AI Project Manager," I pull back the curtain on the 5-stage lifecycle designed to ensure your AI initiatives don't just "launch," but actually perform. Here is a sneak peek at the methodology: Clarify Goals & Business Case: Define the "Why" and calculate the ROI before a single line of code is written. Create Your Roadmap: Mapping the exact path from current state (A) to the AI-enabled future (B). Begin Implementation: The "Build" phase where the AMIGA framework meets reality. Test Your Transformation: Rigorous validation to ensure the system is ready for prime time. Harvest the Promised Value: The most skipped step—verifying if you actually achieved the ROI you paid for. The Secret: Value isn't a post-launch checkmark. It must be tracked, measured, and defended through every single stage. This is just a glimpse of Chapter 1. The remaining 13 chapters are packed with use cases, servant leadership principles, and the tactical "how-to" of enterprise change. Don't want to wait until April 1st? Visit theaiprojectmanager.ai to download a free preview chapter and start mastering the value-driven approach today.