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Service · AI enablementNothing gets installed. Your people are the deliverable.
Two of our six services leave no software behind at all. This is one of them; AI strategy is the other — the remaining four end with something running on your systems. Here we are in the room, on your own work, teaching the people who will live with it how to brief an AI tool, check what it produced, and know exactly when to overrule it.
Thirty minutes, no obligation, and nothing is pitched on it. Bring the team that is supposed to be using these tools; you leave knowing whether training is the thing to start with.
- Delivered byIn person, on your own floor. The people who build the agents are the people who teach your team to work with them.
- You keepThe playbooks your team wrote, a safe-use rule in plain language, and named champions inside your own staff.
- Not includedSoftware. Nothing is installed, nothing is licensed, nothing renews.
The links that matter are the ones between your own people. If the skill still has to come back through us, the training failed.
Training on your Tuesday, not on a demo dataset.
Adoption does not fail loudly. It fails on uncertainty: nobody is sure what is allowed, so nobody uses it, and nobody says so out loud. These are the three ways it dies, and what replaces each one.
How it diesEveryone has heard of AI. Nobody can say what may be typed into it, so the safe move is to leave it alone — and to look busy while doing so.
What replaces itA written rule in plain language: what may be pasted, what never may, and the reason under each line — agreed with the people who have to follow it.
How it diesOne enthusiast experiments. Everyone else watches from a distance and calls it "the AI thing", and the skill never leaves that one desk.
What replaces itSmall groups, hands on keyboards, on their own tasks. Everyone in the room does the work themselves before they leave it — nobody watches a screen at the front.
How it diesThe session lands well, the room is enthusiastic, and the material is never opened again once the ordinary work comes back.
What replaces itChampions named inside your team, a playbook they wrote themselves, and office hours afterwards so a question has somewhere to go.
This is one of the two services where the work is a person in a room rather than software running on a server — the other is the roadmap. Its failure is also the quietest kind: a team trained against a rule nobody wrote goes back to doing it by hand without telling anyone.
Things your team can hold the week after.
Every item here leaves the engagement in your hands, written in your own words, about your own work. None of it needs us to stay useful.
A curriculum per audience
Leaders and hands-on staff learn different things, on purpose. The people who approve the work need to know what to look for; the people doing it need to know how to do it.
Playbooks written against your work
Your documents, your messages, your awkward cases — including the ones your team argues about. Examples from the internet teach nothing your people will meet on a Tuesday.
Cheat sheets people actually keep
One page, on the desk, in the language the team already uses for the task. Not a slide deck in a shared drive that nobody can find by the end of the month.
A safe-use rule in plain language
What may go into a tool, what never may, and what to do when you are not sure. Written so it can be read in one sitting — and edited by you when the business changes.
The use cases the room finds
Training surfaces work nobody had thought to mention. Those get written down as they appear and put in order of what makes the biggest difference, so the session leaves you with a shortlist as well as a skill.
An adoption plan with names on it
Who owns which part, who the champions are, and when the office hours are. A plan with no names on it is a wish, and it stops being followed the first busy week.
The tool never outranks the person who knows the business.
Training people to use AI without teaching them where to stop is not training, it is exposure. Four things stay with your people, and the training is built around keeping them there.
Your people remain the ones who know your business. A tool is fast, which is not the same as right — and the training dwells as long on spotting a confident wrong answer as on getting a good one.
Nothing drafted by a tool reaches a customer, a supplier or a regulator without a named person having read it. That is taught as a habit, not printed as a policy.
You write what may be pasted and what may not. We insist on only two things: that the rule exists, and that your team can read it without a lawyer in the room.
Some tasks should not be done with AI at all. Those go into the playbook as plainly as the ones that should — a training that only says yes is a pitch.
- IFthe material contains someone's personal data, a contract, a financial record, or anything under an NDA
- ORthe answer would leave the company without a person reading it first
- ORyou cannot say where the answer came from, and could not defend it if asked
- THENstop. Use the approved path, and take it to the named owner — that is what the owner is for
Your wording, kept in your own documents, from the day the training ends. Change a line and the rule changes that afternoon: it is your document, kept in your own systems, and editing it does not involve us at all. A rule people cannot edit is a rule they route around.
Five phases. No room is booked before the map.
Training follows the same order as everything else here. Nobody stands in front of your team before we have watched the work they actually do — and you can stop after any phase, with everything written by that point already in your hands.
Listen
A 30-minute conversation, then time on the floor with the teams themselves: which tasks eat the day, which tools they already have, and who is quietly avoiding all of it.
Map
Which audiences need which skill, which tasks are worth teaching against, and what must never be pasted into a tool. If training is not the first thing you need, this is where we say so.
Build
The curriculum, the playbooks and the safe-use rule are written against your real documents — so every example in the room is one your team recognises immediately.
Prove
The sessions themselves. Small groups, hands on keyboards, real tasks. Everyone leaves having done the work, and the playbook is corrected live where the room disagrees with it.
Hand over
Champions named, playbooks in your hands, the rule agreed with leadership, and office hours after — so the questions that arrive later have somewhere to go.
No lock-in by design — the playbooks, the rule and the champions are yours from the day they are written, and none of the three needs us afterwards.
Six things this deliberately isn't.
The word "training" covers a great deal of theatre. Here is what you are not taking on, so you can compare it honestly against whatever else is on your desk.
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Not a webinar
Small groups on their own machines, doing their own tasks. Nobody learns a working habit from the back of a hall with a slide deck at the front.
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Not a certificate
Nobody leaves with a badge. They leave with a playbook they wrote, for work they actually do, and the ability to show a colleague how.
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Not software
Nothing is installed, nothing is licensed, and nothing renews. If you later want an agent built, that is a different service with its own scope, agreed in writing.
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Not a tool pitch
If the tool your company already has does the job, the session teaches that tool. We take nothing from anyone whose product ends up in your playbook.
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Not one afternoon
A single session is attendance. The champions, the written rule and the office hours are the parts that turn attendance into a habit that survives a busy month.
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Not a substitute for the map
If the honest first step is fixing a process or getting your data into shape, we will tell you that and the training waits. Teaching people to speed up a broken process is not a favour.
Five questions, answered before the meeting.
The five that decide whether this is the right service — including the two it would be easy to leave until somebody thinks to ask. They are written down here instead.
Q01 Who actually stands in the room?
The same people who would scope the work, write the code and answer the email a month later. Nobody is booked in for the day who has never seen your systems, and no material is taken from someone else and re-badged.
That has a consequence worth stating: the examples come from the people who build these systems, not from a course outline. It also means the sessions are scheduled around our own calendar, which is the honest constraint on how fast a large team can be taken through.
Q02 Will this stop our week?
It shouldn't, because the sessions run on the work that was already on the desk. The task your team practises on is a real one from that morning's queue, so the time spent in the room produces finished work as well as a trained person.
Teams are taken in small groups rather than all at once, so the floor is never empty. You decide the group sizes and the order — you know which desks cannot be quiet at the same time, and we don't.
Q03 Do we need new tools for this?
Not as a starting position. We begin from what your company already has and teach that, because a habit built on a tool you already own survives a review of what your company uses. Where the tools you have genuinely cannot do the task, you hear it plainly, with the reason.
One thing does change on your side, and it is not a tool: somebody has to be named as the owner of the safe-use rule. That person does not need to be technical. They need the authority to answer "can I put this in?" and be believed.
Q04 What stops someone pasting a customer file into a public chatbot?
Nothing technical, which is exactly why this service exists. Blocking a website does not stop a phone, and a policy nobody has read does not stop anything at all. What we would rely on instead is a short rule people understand, taught with the reason underneath it, plus an approved path that is easier than the shortcut.
So the training covers the rule above, the difference between a consumer chat product and a business account, and what to do with the awkward case — take it to the named owner. That last part is the one we would defend hardest, because it gives a worried person somewhere to go that isn't silence.
Q05 Should the training come before or after the agents?
Either, and the map is where that gets decided rather than here. Before works when your team is already reaching for these tools on their own and nobody has told them where the edges are — the risk is live, so the rule should be too. After works when a system has just gone in and the people around it need to know how to check it, correct it and overrule it.
What does not work is training in a vacuum. If nobody has a task to apply it to that week, the skill decays before it is used. Where an agent is already running, the sessions are built around reading what it did and saying what a better answer would have been — which is the review the humans should be doing anyway.
Find out whether training is the thing you need first.
Thirty minutes, and we look at who does what, where people are already reaching for AI without telling you, and whether a session or a system is the honest first move.
Ask us to call you backwith FuseLoom · [email protected] · and we'll tell you if training isn't the fit
Not ready to talk to anyone? The 45-second readiness check asks nothing of you and answers on the spot — /readiness.