Your team may already be using AI before training catches up.
That is not a failure. It is a sign that your people are trying to work faster, but they need a safer way to learn what good AI use looks like in their own role.
The takeaway
Start with the teams already touching AI. Give them practical coaching, shared examples, and a simple way to show what improved.
What this means for you
If people learn by trial and error, every team invents its own standard. Some people get faster. Others copy risky habits. Your training should meet people where AI is already entering the work.
How to act on it
Pick one role and one recurring workflow. Train the exact decisions people have to make: what to delegate, what data can be used, and how the result should be reviewed.
Turn this into a pilot
Bring one workflow. We will map the task, the risk, the training gap, and the evidence your team should collect in the first month.