AI training for teams, organisations and boards
Everyone got the tools. Nobody got taught.
You bought licences or your staff signed up on their own. Either way, nobody showed them what these tools are good at, where they break, or how to tell.
So you get two camps. Those who avoid AI rather than get it wrong, and those who take a confident answer at face value.
“Run by people who build AI products for a living, so the examples come from systems in production rather than from a brochure”
– Alan Bates, Founder, 10 Kinds
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Three rooms, three different problems
Sort all three and the licences you already pay for start returning something. Work that took an afternoon comes back before lunch. Output arrives checked. Your board can direct AI instead of nodding at it.
Half the team won't touch it
Nobody wants to be the person who sends out something a machine got wrong. So they carry on doing it the long way, and you get none of the benefit you paid for.
The other half are winging it
They're getting usable output and they like it. They also can't separate a good answer from a confident wrong one, so the wrong ones go out with everything else.
The board is signing off blind
Leadership approves AI spend without a working picture of what these systems can do, what they still can't, or which supplier claims are worth anything.
What changes for your people
Days pitched at the level of the room, built around what people are going to do on Monday. They leave faster at the work they already do.
They know what to hand over
The jobs current AI does well, with worked examples rather than abstract demos. Drafting, summarising, extracting from documents, sorting and routing.
They spot the confident wrong answer
Where a model will be fluent, confident and incorrect, and how to spot it before it reaches a client. Which tasks to hand over, which to check line by line, which to keep away from AI entirely.
They pick the right tool
Which tasks suit a chat assistant, which need a knowledge base behind them, and which are cheaper solved with ordinary software. People stop reaching for the same tool for everything.
They know where the line is
If you have rules, we cover how to stay inside them in plain terms. If you don’t, we’ll say so and point you at governance rather than pretend a training day covers it.
Habits built to last
Prompting, reviewing and checking taught as repeatable habits rather than tricks, so the day still counts in six months when the tools have moved on.
Leaders know what to ask
On leadership days: what to ask a supplier, a team or a consultant before approving anything, and which questions belong with a solicitor rather than with us.
Your people leave with
- The ability to tell a good answer from a confident wrong one
- Checking habits built to outlast the current tools
- A written summary of what was covered
- A clear line on what’s allowed, in the words of the job
Prices for all three days are below. Training stands on its own, with no other engagement needed first.
Battle-tested advice
We build this, not just advise on it
10 Kinds is run by the founder of Bazam.ai, an AI content marketing platform we designed, built and run in production. Everything we recommend to you, we have had to make work ourselves, with real data and real consequences when it goes wrong.
Multi-agent systems, in production
Agents that plan, draft and revise a piece of work between them, with a human approval step before anything goes out. We know when that architecture is worth its cost and when a single well-aimed prompt does the same job.
Retrieval over a customer's own material
A knowledge layer so output comes from the customer’s facts rather than the model’s guesses. This is the control most organisations need, and the one most vendors gloss over.
Workflows that run unattended
Approved, scheduled jobs publishing into multiple third-party platforms without anyone remembering to press anything, with a record of what ran and what it skipped.
Tenant separation that has to hold
One customer’s brand material must never surface in another’s output. Getting that right in a live system is a different discipline from writing a policy saying it must be.
That’s where the advice comes from. Which problems are worth pointing a model at, which are cheaper to solve with ordinary software, and which impressive demos fall apart the moment they meet real data. You get that read before the money goes anywhere.
Three training days
Pitched at the level of the room. Each is a fixed price against a written scope, agreed before we start.
Train
1 Team Training Day How do we get one team good at this? A working day with one team on where these tools help, where they go wrong, and how to tell. £2,500 1 day +
- Up to 10 people, with examples relevant to the work that team does
- Where AI is reliable, where it is confidently wrong, and how to tell
- Prompting and review habits pitched at real deadline pressure
- How to keep AI use inside whatever rules your organisation has set
- A written summary of what was covered, to circulate afterwards
2 Corporate Training Day How do we get everyone good at this? The same day run across departments, pitched by role, with a plan for what happens after everyone goes back to their desk. £3,500 1 day +
- Up to 20 people from more than one team
- A short call beforehand so the day is pitched at the right level
- Role-specific tracks rather than one session for everybody
- An adoption plan naming who owns what after the day
- A written summary per department, so nothing is assumed to have landed
3 Leadership & Board Day What are we signing off? For the people signing off AI use and answering for it afterwards. What you are approving, what to ask, and where the exposure sits. £5,000 1 day +
- What current AI does well and where it still falls over, without the vendor gloss
- Where AI would and would not pay across an organisation like yours, with examples relevant to your sector
- The questions to put to a supplier, a team or a consultant before saying yes
- A written summary you can take to the board
Our commitments
Fixed scope, fixed price
Each engagement is quoted at a fixed price against a scope agreed in writing before we start. No day-rate creep, and no surprise on the invoice.
Named deliverables
You get the documents listed on each engagement at the end of it, so you can put them straight in front of a customer, an auditor or your board.
Start anywhere, stop anywhere
Nothing here is a bundle or a prerequisite. Come for training, a prototype or a retainer on its own if that's what you need, and stop whenever you're done.
Confidential from the first call
Everything you tell us stays between us, on the free call as much as in a paid engagement, and we'll sign your NDA beforehand if you'd rather have it in writing.
Questions
Do we have to do governance work before you'll train our team? +
No. Training stands on its own and plenty of organisations book a day without anything else.
It does work better once there are rules to teach. If you don’t have an acceptable use policy yet, we’ll cover the questions your people will hit anyway and tell you straight which ones only you can answer.
Is this Copilot training, ChatGPT training, or something else? +
Whatever your organisation runs. We cover the tools you’ve bought and the ones your staff found on their own, because both are in use. The habits that matter, knowing where a model is reliable and how to check it, carry across all of them and outlast whichever one you’re on this year.
Does training count towards ISO 42001? +
It contributes. ISO/IEC 42001 asks you to show the people working with AI are competent to do so, and training is how you get there. Keeping the records is your side of it, and we’ll tell you what to keep. Training alone doesn’t get you certified, and nothing we do makes the certification decision for you.
Can you build things, or is it just advice? +
Both, and the building is the point. We design, build and ship AI systems ourselves rather than handing you a specification and wishing you luck. Governance is usually how organisations find us. Training is what changes how people work. Building is what changes what the business can do.
Start with a conversation
Half an hour on where you stand: what AI is running, how well your people use it, and what would be worth automating. Bring a customer questionnaire if that’s what brought you here.
You'll leave with a clear position on where you stand and what to fix first, whether or not you hire us.