AI training

TrainingWorkshopsAutomation

I train CEOs and their teams to use AI in the work they already do, and to build the small tools their business is missing. In your office, on your own files, on whatever you were going to do that week anyway.

Your office or remoteHalf a day to two days

Runs as

A half day workshop, two days on site, or a small group over a few weeks.

Who it suits

Owner led businesses where the software nearly fits, and the gap is eating the week.

Nobody has to learn to code

What people brace for is a room of non technical staff being told to become developers. That is not this.

Almost all of it happens in an ordinary window with buttons, where the AI shows you every change it wants to make and waits for you to say yes. The part that surprises people: your bookkeeper will get more out of this than your marketer, because handling documents and numbers in volume is what it is genuinely best at.

Who it is for

The person running it

You are not going to build anything, and you do not need to. What you need is to tell the difference between a real answer and a confident one, and to know what this actually changes about your cost base before you sign anything.

The practical version: you stop buying software for problems that are now an afternoon of work, and you stop hiring for jobs that were only ever copying between two systems.

The people doing the work

Whoever handles the documents, the invoices, the scheduling, the reporting, the inbox. The repetitive, deadline driven work everyone assumes is happening because it always has been.

They leave with tools they made themselves, which is the only kind anyone keeps using after the trainer goes home.

How it runs

  1. Rules first

    What may leave the building and what may not. Half an hour, everyone in the room, before a single thing gets installed. In a regulated business this is the part that decides whether any of the rest is allowed at all.

  2. Chat

    Nothing to install and nothing to configure. Everyone finishes one real job off their own desk inside the first half hour, which is also how the sceptics get converted.

  3. Real files

    The same AI, pointed at a real folder of real work on a real machine. This is where it stops being a chatbot and starts being useful, and it is the stage most people skip because they assume it is for developers.

  4. Write the procedure down

    The thing you explain every single time becomes a file the AI reads. Your letter voice, your checklists, your escalation ladder. It doubles as the documentation nobody ever got round to writing.

  5. Build the missing tool

    The tracker, the worklist, the dashboard your current software answers with a workaround. It runs on one machine, holds nothing online, and costs an afternoon rather than a procurement cycle.

  6. Automation, if you want it

    For the one or two people who want their tool to run on a schedule without them. Everyone else stops at the step before and loses nothing.

What people build

Different trades, same shape of problem.

A cleaning company

Took its Google Ads back in house, then started building its own route planning instead of shopping for one.

A jeweller

Changed how his machines get programmed and got off the legacy software he had been renting for years.

A tennis club

A player and court management tool across locations and skill levels, built by the coach who needed it.

A property management firm

A contractor insurance tracker and a board pack builder. Both things the platform they pay for answers with "there is a workaround".

What you are left with

  • Every person has one working tool they built, and uses it.
  • The procedures that lived in people's heads are written down.
  • One rule about what may and may not be typed into an AI, that everybody understands.
  • The ability to do the next one without me, which is the whole point.

The gap between what your software does and what you need is where the week goes.

You cannot buy that gap closed. It is specific to you, and nobody builds for a market of one. That has always been the deal, and it is why every operations problem eventually turns into a spreadsheet somebody maintains by hand.

What changed is that your own people can now close it themselves, in an afternoon, in plain language. That is a different business to run, and the businesses that work it out first will be competing on a cost base the others cannot match.