AI training starts with people, not tools.

Many organisations have given their people access to AI tools. Far fewer have given them the time to work out how to use those tools well. The result is often uneven: some colleagues experiment enthusiastically, others avoid AI entirely and most sit somewhere in between, unsure what is allowed or useful. Good AI training closes that gap by focusing on people — their tasks, their questions and their judgement.

Start where people actually are

A team rarely shares one level of experience. Some people need a safe introduction and plain-language explanations; others are ready to build workflows and assistants. Separating foundations from advanced practice lets everyone progress at a useful pace instead of either feeling lost or waiting for the basics to finish.

Make safe use the first skill, not the last

Before people get creative, they need to know what information they can share, which tools are approved and how to check an output before it reaches a customer. When responsible use is built into practice from the start, it becomes a habit rather than a policy document nobody reads.

Practise on real work

Generic demonstrations show what AI can do. Real tasks show what it can do for this team. Drafting a customer update, summarising a long report or preparing for a meeting gives people something they can use the next day — and reveals where human judgement still matters most.

Share what works

When one person finds a useful prompt or workflow, it often stays with them. Encourage teams to document and share approaches that have been tested, so good practice spreads and people build on each other's progress.

Keep judgement in charge

AI can speed up research, drafting and analysis. Decisions, relationships and accountability remain human. The most valuable training helps people use AI with curiosity and confidence while staying clear about where their own expertise leads.