People & Work
AI training is not adoption.
Learning creates a possibility. Repeated use needs approved practices, time, ownership and a real task worth improving.
An employee can leave a workshop enthusiastic and still return to exactly the same way of working. That does not automatically mean the training was poor.
It may mean the organization has not made room for the skill.
Ask what happens after the session
Which approved tool will the employee use? Which task may they try? Who checks the result? What happens if the new approach takes longer while they learn?
If those questions are unanswered, using the old method is a rational choice. The workshop can teach a skill, but it cannot make operational decisions that belong to managers and process owners.
Look at repeated work, not enthusiasm
A useful adoption conversation begins with a recent attempt: show the input, explain the review and identify the correction. It does not need a dramatic success story. A discovered limitation can be valuable evidence.
Attendance and satisfaction tell you something about the learning experience. They do not tell you whether an employee can reliably apply the skill to work. Counting prompts is not a substitute for reviewing a result.
The next useful attempt matters more than another attendance count.
Give the next attempt an owner
Choose a recurring task, agree the boundaries and give someone responsibility for the shared example. Managers should make practice possible and discuss what employees find difficult without turning every difficulty into a personal failure.
The workshop-to-adoption guide describes how to organize that follow-through. Sometimes the next step is more practice. Sometimes it is fixing access, clarifying a process or deciding that AI is not useful for the task.
Treat training as the beginning of a workplace practice, with people responsible for making that practice possible.