Where AI Often Fails and How to Fix It
You launched the AI model. The dashboards went live. And… nothing changed.
The same meetings.
The same decisions.
The same “we’ll get to it next quarter.”
Sound familiar?
If so, you’re not alone. This pattern shows up in boardrooms across industries—from healthcare to logistics to financial services. The real challenge? It’s rarely the technology itself. More often than not, stalled AI initiatives reveal people and process gaps, not model performance issues.
In this article, we’ll unpack the most common missteps businesses make when implementing AI, share lessons from real-world client wins, and provide a playbook to help leaders unlock actual, lasting impact.