Leadership and adoption
From loose tips to a learning path
A few videos and a demo don't add up to training. How to build a learning path that brings every employee to the right level.
5 min read
In many businesses, employees pick up AI in bits and pieces: a video, a colleague showing something, an article. That's a start, but it creates big gaps. Some become very skilled, others drop off. A learning path gives everyone a shared foundation and room to grow.
A path in three levels
Level 1: the basics for everyone
- What AI is and what it can't do.
- Working safely: which data, and which not.
- Giving good instructions and checking results.
- The business's rules.
Level 2: by role
- Uses for your own work: sales, administration, HR, operations.
- Practising on real tasks.
- Setting up your own assistant or project.
Level 3: for champions and front-runners
- Building assistants for the team.
- Simple automations.
- Supporting others.
What makes a good path
- Short and regular: ten minutes a day beats one long day.
- Practical: with exercises on real tasks.
- Tracked: who has done what, and where someone gets stuck.
- Repeated: AI moves fast, so refresh every year.
Track and show
Keep a record of who has completed which level. It helps you support people where needed and show the measures you've taken on AI literacy. A learning platform with paths by role, practical exercises and an overview for the employer makes this easier.
Checklist
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Prompt to copy
We want an AI learning path for our business, a [sector] company with these roles: [list]. Propose a path in three levels (basics for everyone, by role, for champions) with goals, topics and a practical exercise on a real task for each level. Keep it realistic at ten to fifteen minutes a day.
