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Explain AI at work without the hype or the fear.

Some of your people expect AI to do everything. Others expect it to replace them. Our AI training for employees shows them what it does in their job, what it doesn’t, and what the rules are.

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A free first call. You bring the subject, we bring how we’d approach it.

Sound familiar?

“Half the team thinks AI will take their job. The other half thinks it can do anything.”
“Our AI policy is a PDF nobody has opened.”
“People are using tools we haven’t approved, with data they shouldn’t share.”
“Leadership says ’use AI more’ and nobody knows what that means.”

What good looks like

People can tell the practical reality from the promises and the fears. They know where AI helps in their role, where its output needs checking, and what never goes into it. Curiosity takes the place of both panic and blind trust.

How to run AI training for employees that changes what they do

Most AI training explains the tools. The training that changes behaviour answers three questions for each role: what AI is good for here, where it goes wrong, and what never goes into it.

  1. 1

    Start with the fears, not the features

    Before anyone opens a tool, say out loud what people are worried about: their job, their judgement, getting it wrong in front of others. Training that skips this gets polite attendance and no change. Name the fear, then show what AI actually does in their role, using their own tasks as the examples.

  2. 2

    Make it role by role

    A buyer, an engineer and an HR adviser use AI for different things and face different risks. One generic course for everyone ends up useful to no one. Pick three or four real tasks for each role and show the before and after.

  3. 3

    Teach checking as a skill

    The most important AI skill isn’t writing prompts. It’s knowing when the output is wrong. Show people real examples of confident, plausible mistakes, and give them a habit for checking facts, figures and sources before anything leaves their desk.

  4. 4

    Turn the AI policy into decisions

    A policy nobody has opened protects nobody. Translate it into the handful of moments people meet every week: can I paste this client document in? Can I use this image? Who do I ask? Short scenarios work better than a list of rules. Our image rights case does exactly this, with four questions anyone can ask.

  5. 5

    Plan for AI literacy, not one session

    In the EU, the AI Act already expects organisations that use AI to make sure their staff have a sufficient level of AI literacy. Wherever you are, the tools change every few months. Treat AI training as a programme: a core module, short refreshers, and a place where people share what works.

Which moments apply

Proof

See all the work

Where does AI need explaining first?

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