How do you train employees to use AI at work?

Teach AI on the tasks people already do

The most reliable way to train employees on AI is to pick a few tasks each team repeats every week and teach AI on those. A sales team might use it to prepare account notes before a call. A finance team might use it to draft commentary on budget variances.

General courses explain what AI is. People leave knowing that and still unsure what to do on Monday morning. When the exercise uses a safe version of their own spreadsheet or their own email thread, they see the gain and the flaws in the same hour. They learn where the tool gets things wrong and how to check it, which is the skill that matters most.

A common pattern in mid-size firms is that leadership buys licenses for everyone and runs one webinar. Use rises for a week and then fades, because nothing about a normal working day has changed. The firms that do better pick one workflow per team, train on it with approved files, and ask each team lead to use the same tool in the weekly meeting.

Write the rules before the first session

When people do not know what is allowed, some hold back and others guess. Settle a short set of rules before training starts, and cover these points:

• Which tools are approved, and which accounts to use for work.
• What data is barred by your contracts, policy or local law. Customer records, contracts and unreleased financials need an explicit rule.
• Which outputs a person must check before sending, and what checking means for that task.
• Who to ask when a case is unclear, named as a person or a channel.

Our answer on what a company’s first AI policy should cover goes through them in more detail.

Check whether work changed, then adjust

Training has worked when work changes. Look at a few things for each team: how many people use the approved tool in a normal week, which tasks they use it for, and how long those tasks take compared with before. Ask each team lead to name one task that is now done differently. If none can, the training stayed in the room.

Expect uneven results. Some people take to it fast, and others need a second round on a different task. Pair them with a colleague instead of repeating the slides. Keep sessions short and spaced out, with practice in between, because skill comes from repeated use.

Hands-on sessions on your own work, with clear rules and a report on what changed, are what AI training for teams is built around.