Training a team on AI in 30 days: a manager's plan

Training a team on AI does not take a long programme. A well-built month is enough to go from isolated, often hidden uses to a team that knows what to hand to AI and how to check. Here is the plan, in five steps over four weeks.

The method in five points

Week 1: the assessment

Who uses what, for which tasks, with which data? Without judgement: the goal is to start from reality. Our AI skills test gives a first picture, role by role.

Week 1: the rules

One page, no more: the approved tool, the data that never goes in, mandatory review. Our guide on data to keep out of assistants can serve as a base.

Week 2: three pilot tasks

Each person picks three repetitive tasks from their role and learns to frame them and check the answer.

Weeks 3 and 4: sharing

Thirty minutes a week to show what works and what fails. That is where the team progresses fastest.

End of the month: measurement

Time saved on the pilot tasks, quality, difficulties. Keep what works and decide what comes next, with the time-saved method.

What AI does not do for you

The plan does not do the manager’s job: their example and regularity are what count. And nobody should leave the month thinking their job is disappearing: they learn to remove repetitive tasks, to keep time for judgement and relationships.

What stays out of the request

During the exercises, work on real but anonymised cases. The week 1 rules apply from day one.

Find out where you stand

Before choosing a course, the most useful step is knowing where you start. Our AI skills test asks questions matched to your role and tells you, in a few minutes, what you already do well and what would save you the most time. For a whole team, AI training for teams starts from your real tasks, not from a generic course.