AI training for teams
Your team, faster at the work they already do.
Not a course about AI tools. Your team brings real work, does it the new way with us in the room, and keeps the habit.
What changes
The same week, shorter.
A client deck takes two days
An afternoon
The monthly report is typed by hand
Drafted in minutes, checked by a human
Small features wait weeks on engineering
Shipped the same week
Research spread across twenty tabs
One answer, with its sources
Security is whatever your vendor tool catches
Your own engineers catch what it misses
One person knows the AI tools
The whole team does
What your team gets
Built around your work, not ours.
- A curriculum scoped to your team's real tasks
- Seats you assign as people join and leave
- A dashboard of who finished and who stalled
- A private space, separate from the public community
- Certificates your people show, and you verify
Most AI training is hard to sit through. Not because the ideas are hard, but because of how they are taught: new words nobody explains, tools introduced before anyone says what they are for, and a platform you have to learn before you can learn anything. People come out impressed and nothing changes on Monday.
We teach as though you know nothing about it, and we do not mind that you do not. Nobody is asked to study a tool. You bring real work, the report you rebuild every month, the deck, the pile of tickets, and you do that work with us in the room. The tool gets learned on the way, because you are using it for something you actually needed. Do it two or three times and it is yours.
It is an activity, not a lecture. That is the whole difference. A team that has been shown a tool goes back to the old way inside a month. A team that has already done its own work the new way, and been corrected while doing it, does not.
I teach what I build. Creovine Academy is the training arm of Creovine, the studio I co-founded. The same team ships Lira, which handles real customer conversations for businesses in production, and Oystar, a clinical referral system used by hospitals in Rwanda. Behind them is one system we designed, wrote and run ourselves, serving four live products. I am not describing a chatbot. I build this properly, and I run it in my own businesses every day.
I have taught this to people one at a time, and the ones who keep it are always the ones who did the work rather than watched it. Tell me what slows your team’s week down and I will tell you what I would change, and whether it is worth doing.
Yerins AbrahamCo-Founder, Creovine Academy
The programme
What we actually do.
Every engagement is scoped to one organisation, so no two are the same shape. This is the work underneath all of them.
- 01
We learn how the team actually works
Sessions with the people doing the work, not only the person buying the training. What a week contains, where it stalls, and which tools are already in the building.
- 02
We pick the workflows worth changing
Not everything benefits. We choose the few tasks that are frequent, slow, and repeatable enough that a change compounds, and we say which ones we are leaving alone.
- 03
We design the training around those roles
An analyst, a marketer and an engineer do not need the same session. The curriculum is built per role against the workflows above.
- 04
The team trains on its own work
Real documents, real reports, real tickets, handled under supervision. People leave a session with something finished, not with notes about a demo.
- 05
We stay through adoption
The weeks after training are where most of it is lost. Follow-up sessions, a place to ask questions, and help fixing what does not survive contact with a real deadline.
- 06
We write down what changed
Agreed with you at the start: which tasks, measured how. Where a number is not honestly measurable we say so rather than producing one.
What it costs
Four tiers, published.
Fixed scope and a fixed price for the first three, with the departments, participant numbers, modules and support period written down for each. Enterprise is scoped with you.
If you employ people in the EU
This is already required of you.
Since February 2025, European rules have obliged employers to make sure the people using AI at work understand it. Most organisations have not done anything about it yet, and the rules covering AI in hiring get harder in December 2027.
This is that training. We are not a compliance service and we certify nobody, but the skills the obligation is about are the ones we teach: what AI can be trusted with, how to check what it produces, and what must never go into it.
Start here
Thirty minutes, and you will know if this fits.
No deck and no pitch. You tell us what your team spends the week on, we tell you what we would change and whether it is worth doing.
Book a 30 minute callPick a time that suits you. Nothing is committed on the call.
Rather not book yet?
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