When a company rolls out an AI tool, access is only one part of adoption. Employees also need to decide when the tool is useful, what context to give it, and how to check what comes back.
That is hard to teach with a generic demonstration. A better starting point is a task people already perform.
Use Examples That Fit Each Role
Someone in customer service might practice drafting a reply and checking it against company guidance. A developer might use AI to explain unfamiliar code, then verify the explanation against the code itself. A project manager might turn meeting notes into proposed action items and check that nothing was invented or missed.
Each exercise should include the review step. The useful skill is the ability to decide whether the output is accurate and suitable for the task.
Make the Boundaries Clear
Employees should know which AI tools are approved and what information they can enter. They also need to know when an answer requires a source check or a person’s approval.
Clear guidance gives teams room to practice while protecting the information they work with.
Keep Training Close to Daily Work
After an initial session, ask employees where AI helped and where it created extra work. Use those examples to improve the training. As tools change, the exercises and guidance should change with them.
I wrote more about this approach in the Employee AI Training Guide.
Top comments (0)