Problem 06
“Our team can’t use AI.”
Unused AI licences cost a subscription and save nothing, while staff quietly try free tools and nobody checks what goes in.
What it actually costs
What it is costing you
Why it happens
Why it happens
AI tends to arrive sideways: a licence someone bought after a networking breakfast, a free app a colleague found, a button that appeared in the email software overnight. Nobody was shown what it’s good at, what it gets wrong or what must never go into it, so everyone makes up their own rules. The figures above say the same at scale: skills are the barrier, people use AI anyway, and most have had no training from their employer.
So people try it once, get a confident wrong answer and decide it’s rubbish, and the licence goes unused. Or they use it for everything, quietly, client details included, because nobody said not to. The keen ones get faster and the careful ones get left behind, and nobody can see who is doing what. Neither is a people problem. It’s a training problem, plus a missing page of rules.
A lifeboat is only as good as the crew that launches it. Generic courses teach the tool in the abstract, then everyone goes back to the same inbox and the same habits. What sticks is practice on your own work, with the guardrails written down and someone to ask when it goes wrong. Owners need it as much as their teams, because the person who decides what gets handed to AI should understand what it can do.
How we fix it
How we fix it
- 01
We find out what your team already uses.
Officially and otherwise, plus the weekly jobs they’d hand over first, because you can’t set rules for tools you don’t know about and the best first use is usually the job everyone dreads.
- 02
Workshops run on your own work, not generic examples.
Half-day and full-day sessions use your quotes, emails and reports, so people leave with prompts and routines they’ll use the next morning, rather than a certificate and good intentions.
- 03
We write the guardrails with you.
What goes into AI, what never does, which tools are approved, and the rule that a person checks everything before it leaves the building: clear edges make people braver, not more careless.
- 04
Mentoring and coaching keep it going after the workshop.
Founder mentoring and regular coaching sessions unstick problems and add the next use, because a workshop starts a habit and coaching is what keeps it alive in a busy month, when old habits are quickest to return.
- 05
When a task is ready, we build the agent that does it.
It connects to your business brain, one memory of how the business works that staff and AI both use, so the agent works from the same facts as your team, and a person signs off what it produces.
What it runs on
What it runs on
Questions people ask
Questions people ask
Is this just ChatGPT training?
No. ChatGPT is one tool, and we teach whichever tools fit your work, including the AI already built into software you pay for. The training is about the thinking around them: what to hand over, how to check what comes back, and what never goes in. We also show people how to give AI the context it needs, which is the difference between a vague answer and a useful one. By the end of a workshop, everyone has a short list of prompts for their own jobs, tested on real work. Anyone can buy a saw. Knowing what to cut, and checking the measurements first, is the part that takes training.
Some of my team are nervous about AI. Will this put them off?
We start where they are, with jobs they already find tedious, and nobody is asked to trust an answer they haven’t checked. The sign-off rule exists for exactly this: AI drafts, a person decides. Nervous people often ask the best questions, about accuracy, privacy and what happens when it’s wrong, and the guardrails answer them in writing. Nobody has to become an enthusiast. They just need to know what to hand over, what to check and who to ask when something looks wrong.
Do you train in person?
Yes, at your premises or ours in Seaford, and remotely for teams further afield. We prefer to be in the room for the first workshop, because the useful questions come out when someone shares their screen and shows you the part of the week they dread. A half-day suits a team trying AI for the first time; a full day leaves room to build routines around each person’s own work. After that, coaching works well on a call, and the guardrails live somewhere everyone can find them, so new starters learn the same rules as everyone else.
We’re a small team. Is it worth it?
Small is where it pays first. In a team of five, every hour one person stops spending on drafting, summarising and chasing shows up straight away, and there’s no department to get in the way. Small teams also change habits faster, because the person who decides is usually in the room. The free review puts a rough value on it before you spend anything: we ask what your team does every week that a machine should do, and what you’ve already tried with AI. If training isn’t the right first move, we’ll say so and tell you what is.
Do you work with larger companies too?
Yes. We run enterprise AI implementation, team training programmes and process automation for Panasonic Northern Europe, an active engagement under NDA, with a reference available on request. The approach is the same at any size: a working system early, training for the people who will run it, and a person signing off whatever the AI drafts. For corporate teams, that includes implementation strategy, infrastructure and adoption, worked out while something is being built rather than sold as a standalone roadmap. Owner-run businesses get the same thinking, minus the procurement process.
Free business review
Tell us what’s slow. We’ll tell you what to fix first.
A call of 20 to 30 minutes. We find the gaps, the leaks and the quick wins, and what each one is worth to you. Fixed price after that, no hourly rates. No 200-page deck.
Or tell us what you want to achieve and Dan will come back to you within one working day. Email dan@danielnicholls.com.