An assessment before any training
We interview your team about how the work really flows, then rank the candidates by hours saved against effort to automate. You get the ranked list whether or not you continue. It is useful on its own.
Most AI training teaches people to chat with a model. We teach them to hand it real work, patiently and in plain language. Your team finishes with automations it built and can maintain alone.

Nearly every company has AI licences by now, and most are getting a fraction of the value. People use the tools to rewrite emails and summarise documents. That helps, but the work that eats the week is still done by hand.
Enthusiasm is usually there. What is missing is someone to sit down with your team, look at how they work, and show them which of their own recurring tasks a model can take over. Generic training falls short, because it has no idea your ops lead rebuilds the same report every Monday morning.
We train on your team's real work. By the end, each person has working automations for their own job and knows enough to keep building after we leave.
We interview your team about how the work really flows, then rank the candidates by hours saved against effort to automate. You get the ranked list whether or not you continue. It is useful on its own.
We work with real tasks in place of sample data. Each session takes a task someone on your team really does and automates it live, so people learn on the thing they care about.
Claude Code is an AI tool that, besides answering, can read files, run tools, and complete multi-step tasks. That lets non-engineers automate real work, and it is the core of what we teach.
We show your team how to save a working automation as a skill: a set of instructions anyone can reuse. A good prompt then becomes available to everyone and stops living in one person's history.
Your team leaves with documented practices: what to automate, what never to automate, how to review AI output, and where the failure modes are.
We list each item so it is clear from the start what is in scope.
We would rather lose the enquiry than take on work someone else would do better.
Larger projects vary so much that a general figure would confuse you, so we quote them after a free call. We always tell you what the price depends on.
Finding out where AI would pay off before spending on it.
Free
Free. No cost, no obligation
About one week
One team that needs to get productive with AI quickly.
Quoted
Priced on team size and number of sessions
2 weeks
Rolling AI practice across several teams and making it stick.
Quoted
Priced on how many teams take part
6-10 weeks
No. The enablement track is built for non-technical teams: operations leads, founders, finance, marketing, and support. We handle any technical setup, and sessions are run in plain language. If you do have engineers, they usually join to learn the skill-building side and then support their colleagues afterwards.
Claude Code is an AI tool that takes actions: it can read your files, run tools, and complete multi-step tasks, where a chat assistant only replies in a window. A chat assistant helps a person work faster; a tool that acts can own a recurring task end to end. We also cover general assistants where they are the better fit. The goal is the automated task, with whichever product does it best.
The Team Workshop is three half-days over two weeks, plus roughly an hour of homework between sessions. We deliberately spread it out. People need to try the automation against a real week of work before the next session, or none of it sticks.
Then the assessment says so, and you have saved yourself a much larger spend. It happens: some processes are too variable, too rare, or too regulated to automate profitably. We would rather tell you that in week one than sell you a programme that delivers less than promised.
Thirty minutes, no pitch. We tell you what we would do, what it would take, and whether you need us at all.