How do I train my team on a new AI tool?

Most training fails the same way: a presentation nobody remembers, followed by people quietly not using the tool. Training a team on an AI tool is not about explaining features; it is about getting people confident enough to use it on their real work. That happens through practice, honesty about limits, and support, not through slides.

Step by step

1. Show it doing their actual workStart by demonstrating the tool on a task your team does every day and immediately recognises, not a generic example. When people see it draft the exact kind of email they write, or summarise the reports they actually handle, the value is obvious and the abstract becomes concrete. A demo on real, familiar work answers the only question that matters to them, will this make my day easier, far better than any feature list. Skip the tour of everything it can do and show the one thing that helps them.
2. Get them doing it, not watching itPeople do not learn a tool by watching; they learn by using. As soon as you have shown the basics, put the tool in their hands and have them try it on a real task of their own, right there, with you present to help. The confidence that drives adoption comes from a person succeeding at something themselves, not from seeing someone else do it. A short hands-on session where everyone gets a real result is worth more than an hour of polished presentation.
3. Be honest about what it gets wrongDo not oversell. Tell people plainly where the tool is strong and where it fails, that it can be confidently wrong, that its output needs checking, that some tasks suit it and others do not. Teach the basics of asking it well, since how you prompt strongly shapes what you get. A team that knows the limits uses the tool wisely and trusts it appropriately. A team sold a flawless miracle loses faith the first time it errs, and quietly stops using it altogether.
4. Give clear guardrails and someone to askSet out the simple rules: which tasks to use it for, what data must never go into it, when a human has to check the output. Then name a person, your champion, whom people can ask when they get stuck, because the moment of confusion is when most people abandon a tool for good. Knowing there is someone to turn to, and clear boundaries to work within, is what lets people use a new tool confidently rather than nervously or recklessly.
5. Follow up after real useDo not treat training as a single event. A couple of weeks in, once people have used the tool on real work, come back together to share what worked, answer the questions that only surface with experience, and fix the things that confused people. This follow-up is where shaky early use turns into confident habit, and where you catch the quiet drift back to the old way before it sets in. One session teaches; the follow-up is what makes it stick.