The AI pilot was a success. The model performed. The accuracy metrics exceeded the threshold. The business case held. The stakeholders who saw the demonstration were impressed. Everyone agreed: this is ready to move forward. That was fourteen months ago. The AI is still not in production. CEOs I work with encounter this pattern more…
Speaking of governance decisions. Imagine the following. You have an AI pilot that works. The model performs. The accuracy is solid. The business case was approved twelve months ago. The demo went well. Leadership is supportive. And it’s still not in production. If this is your situation, you’re in a category that has its own…
Let me guess what happened. Your data science team built an AI model that actually works. The business case penciled out beautifully. The pilot delivered impressive results. Leadership approved the budget to scale it. Then everything… just… stopped. You’re now struggling to scale AI pilots beyond the proof-of-concept stage. Three months later, you’re sitting in…
