🧠 I recently heard Markeeva Morgan, PhD, PMP speak on a panel at BEYA 2025, and he shared a simple but powerful concept: If I draw a number on the floor, I might see a 6, while you see a 9. Same number, different perspectives. The 6 vs. 9 Problem: Why AI Projects Fail More… Continue reading The 6 vs. 9 Problem: Why AI Projects Fail More Than Traditional Software Development
❓ In Part 1, I raised a concern: Are companies using AI to cut too deeply into their human workforce? In Part 2, I offered a better approach: Use AI to augment, not erase. Now let’s make it real. AI Use Case or Ethical Red Flag? Ask These 3 Questions. Every leader I know is… Continue reading AI Use Case or Ethical Red Flag? Ask These 3 Questions.
🔁 In Part 2, I shared why AI must be managed like mission-critical infrastructure — with governance, cross-functional ownership, and frameworks like #CPMAI to guide implementation. But here’s the missing piece: Most federal AI RFPs still don’t require the one role that makes all of that possible. ⚠️ The AI Project Manager is Still Missing… Continue reading It’s Time to Add AI Project Managers to Every Federal AI RFP
🔁 Following up on my Part 1, I explained why many federal AI initiatives never progress beyond the pilot phase — usually due to misaligned goals, poor data planning, or overlooked change management. Managing AI Like Mission-Critical Infrastructure 📍 But even when these issues are addressed, projects still struggle. Too often, federal agencies manage AI… Continue reading Managing AI Like Mission-Critical Infrastructure
🎯 As @Josh Bersin has noted in his research on HR technology transformation, the most successful companies today utilize technology to augment human judgment, rather than replace it. They leverage Advanced Intelligence to handle administrative tasks while ensuring every candidate interaction includes genuine human engagement. Their hiring managers spend less time on paperwork and more… Continue reading When Hiring Had a Heart By George Fountain Jr., PMP, CPMAI+E
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