What is the biggest mistake companies make with AI?

Starting from the tool instead of the decision. "We need an AI strategy" usually means someone bought a hammer and is hunting for nails. The teams that win don't start with the model. They pick one expensive, repeated decision they make badly, and point AI at making it better.

The close second is using AI to move a bad process faster. If your support queue is a mess, an LLM that closes tickets faster just hides the mess. Turn the tickets into a sensor instead: cluster them, find what's actually breaking, and fix the root cause. Speed on a broken loop isn't progress.