AI Workshops & Training
Help your team use AI with confidence.
Practical workshops for companies. Your team works with AI tools on its own everyday tasks, learns where they help and where their output needs checking, and leaves with ways of working it can use the next day.
Ask about AI Workshops & Training Book a free consultation
Prefer to write? Send us an email at [email protected]
Who it’s for
Companies whose teams want to use AI tools in their everyday work, safely and with a shared approach.
It may be for you if
- People already use AI at work, each in their own way, and nobody knows what goes into it.
- Some colleagues are enthusiastic, others sceptical, and there is no common ground.
- You want clear rules on data and on checking output before something goes wrong.
- You pay for AI tools, but they are used far less than expected.
01What you get
What you get
- A workshop built around your team’s own tasks and tools
- Practice on real examples, not generic demos
- Agreed rules for checking AI output and handling data
- Materials the team can return to after the workshop
02In detail
What it involves
Our workshops are practical sessions for teams, built around the work your people already do. The goal isn’t to show every AI tool, but to give the team a confident, shared way of using the right ones.
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Preparation with you
Before the workshop we agree its goals, who will take part, which tools the team can already use and which tasks matter most. The exercises are prepared from those tasks.
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The fundamentals, briefly
What current AI tools are good at, where they make mistakes and why their output always needs checking, with examples from your field.
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Hands-on practice
Most of the time is spent working: participants use AI on their own tasks, compare the results and learn how to ask for what they need.
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Rules for the team
Together we write down the team’s rules: which tasks AI is used for, how its output is checked and which data must never go into external tools.
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Materials after the workshop
A summary of what was covered, the exercises and the agreed rules, so the team can return to them.
03Why it pays off
Your team already uses AI. Training makes it safe and useful.
AI tools reached most offices before any guidance did. A workshop gives the team shared skills and shared rules, so AI use becomes something the company can rely on rather than something it hopes is going well.
In many companies the question is no longer whether people use AI at work. A Microsoft and LinkedIn survey of 31,000 knowledge workers found that three in four already did in 2024, and that most of them brought their own tools. Only a minority had received any AI training from their employer.
Use without training has two costs. The first is missed value: people stay with the few tasks they discovered by chance and never learn where AI helps most in their own role. The second is risk: confidential data typed into public tools, and output passed on without the checking it needs, because nobody explained where these tools tend to make mistakes.
A practical workshop addresses both. Participants practise on their own tasks, so what they learn applies the next morning. They see where AI output is reliable and where it isn’t, and the team agrees written rules on tools, data and review. Managers gain a common standard instead of a dozen private habits.
Training also makes later decisions easier. When everyone works from the same basics, it becomes clearer which tasks deserve a dedicated tool or an automation, and which are already well served.
Skills that apply the next day
Exercises use the team’s own work, not generic demos.
Fewer data and quality risks
Agreed rules cover what never goes into external tools and how output is checked.
One shared standard
Enthusiasts and sceptics leave with the same vocabulary and the same expectations.
Better use of what you pay for
Teams learn to get value from the tools the company already licenses.
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Fig. 1
39% of people who use AI at work had received AI training from their company.
In the same survey, 75% of knowledge workers used generative AI at work, and 78% of AI users brought their own tools.
About this figure: 39%
Microsoft and LinkedIn surveyed 31,000 full-time employed or self-employed knowledge workers in 31 markets between 15 February and 28 March 2024. The survey reports what people said about themselves; the situation in your company may differ.
Source: Microsoft and LinkedIn, Work Trend Index, AI at work is here. Now comes the hard part (external site), 2024
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Fig. 2
18.8% of the world’s working-age population used a generative AI product in June 2026.
Up from 17.8% in the first quarter of 2026.
About this figure: 18.8%
Microsoft’s estimate covers people aged 15–64. It is based on anonymised usage data, adjusted for device market share, internet access and population. It measures AI product use, not its effect on work.
Source: Microsoft AI Economy Institute, The continued state of global AI diffusion in 2026 (external site), 2026
These figures come from studies and rules in other settings. They show why the work matters, not what will happen in your business.
04How we work
How we work
Agree the goals
What the team does today, which tools it uses and what it wants to be able to do.
Practise on real work
Short explanations, then hands-on exercises on the team’s own tasks.
Agree the rules
When to use AI, how to check its output and which data stays out.
We agree the goals and the team’s current tools first, so the workshop works with the tasks people actually do.
Format, length and group size are agreed with each company.
Questions?
Have questions? Let’s talk.
Not sure whether this fits your situation? Tell us briefly what you’re working on. We’ll read it, ask a few questions and suggest a sensible next step, even if that step isn’t working with us.
- A short description of the problem is enough to start.
- No sales script and no obligation.
- You talk to one of the founders, not an account manager.
Ask about AI Workshops & Training Book a free consultation
Prefer to write? Send us an email at [email protected]
05FAQ
Frequently asked questions
Does the team need any experience with AI?
No. The workshop starts from the tools the team can already use and the tasks that matter most. Experienced users and beginners work on the same tasks.
Which AI tools do you cover?
The ones that fit your team’s work and your company’s rules. We agree them before the workshop, rather than showing every tool on the market.
How long is a workshop, and for how many people?
Format, length and group size are agreed with each company, based on the goals and the people taking part.
What happens after the workshop?
The team keeps a summary of what was covered, the exercises and the rules it agreed for using AI, so it can return to them.
How do you prepare the workshop?
Together with you: we agree its goals, who will take part, which tools the team can already use and which tasks matter most. The exercises are prepared from those tasks.
Is it a lecture?
No. The fundamentals are covered briefly; most of the time is spent working, with participants using AI on their own tasks and comparing the results.
Will the team learn where AI makes mistakes?
Yes. We cover what current AI tools are good at, where they make mistakes and why their output always needs checking, with examples from your field.
What rules does the team agree?
Which tasks AI is used for, how its output is checked and which data must never go into external tools. They are written down together during the workshop.
Is it only for technical teams?
No. The workshop is built around the work your people already do, whatever their role, and the tasks that matter most to them.
How much does it cost?
It depends on the scope. After a first conversation we describe what the work would include and what it would cost, in writing, before anything starts.