AI leverage for leaders.

You

You drive, I guide.

Every session runs on your machine, on your actual work. You type, I talk. We fix one real task together, then you do the next one yourself.

• Your machine, your real work. No sandbox, no demo data.
• One real task per session, finished, not just shown.
• No slides, no homework, no generic examples.
• Shaped by what’s on your plate that week, not a syllabus.

The skill stays with you.

Fundamentals

Why it works one day and not the next.

Most people use AI the way they use search: short question, take the first answer. That’s why it feels hit and miss. It isn’t random. It’s responding to exactly what you gave it, which is usually not much.

We build a working picture of what these systems actually are, so you can predict what they’ll do and get the same good result on purpose.

• What a model is actually doing when it answers you
• Why context matters more than clever wording
• How to brief it the way you’d brief a sharp new hire
• Where it’s reliable, where it bluffs, and how to tell the difference

You stop guessing. Results become consistent and yours.

Tools

ChatGPT, Claude, Gemini, Perplexity. Which one, for what.

They look the same and they aren’t. Each is better at different things, and the paid tiers, modes and settings change what you get more than most people realise.

We set you up properly on the two or three worth paying for, and drop the rest.

• What each one is genuinely best at, right now
• Settings, modes and memory most people never switch on
• Research, writing, analysis, images: the right tool for each
• One sensible setup that works on your phone and your laptop

Fewer tools, set up properly, each used for the right job.

Voice & media

Meetings, calls and documents, captured and turned into something useful.

A lot of your week is talking, and most of it evaporates. Meetings, calls, voice notes, long documents you never had time to read.

We set up capture and summarising so nothing gets lost, and the output is in your words rather than a generic recap.

• Meeting notes and actions you’d actually send
• A 40-page document into the two paragraphs you need
• Voice notes straight into drafts, briefs and follow-ups
• Images and video where they genuinely help, and where they don’t

Less admin after every meeting. Nothing said gets lost.

Bulk usage

The same task two hundred times, without doing it two hundred times.

Review every supplier contract. Qualify all of last quarter’s leads. Rewrite the whole product catalogue. Jobs you’d never give one person because they’d take a month.

This is where AI stops being a helpful chat window and starts doing real work. We set it up to run through the pile reliably, with you checking the output instead of producing it.

• Spreadsheets, folders and inboxes as the input, not one message at a time
• The same quality on item 180 as on item 1
• Catching the errors before they matter
• Knowing what it will cost before you press go

Work you’ve been putting off for a year becomes an afternoon.

Agentic coding

Build small tools for yourself, without becoming a developer.

There’s a tool you’ve wanted for years. A calculator, a dashboard, something that cleans up that spreadsheet. It never got built because it wasn’t worth a developer’s time.

Tools like Claude Code and Cursor write and run the code while you describe what you want in plain English. We build your first one together, on your machine.

• Describing what you want clearly enough that it gets built
• Reading what it made well enough to trust it
• Where to be careful: data, security, anything customer-facing
• Knowing when to stop and hand it to a real engineer

You build the small things yourself, and brief the big ones properly.

Agents

AI that works through a multi-step job on its own, then reports back.

An agent is AI with hands. Instead of answering one question, it works through a task: reads this, checks that, drafts the reply, flags anything odd.

The word gets thrown around a lot. We ignore the hype and build the simple, reliable kind that earns its keep.

• What an agent genuinely is, in plain terms
• The jobs they’re good at, and the ones they’ll make a mess of
• Enough freedom to be useful, not enough to be dangerous
• Keeping yourself in the loop where it counts

A few boring, repetitive jobs quietly handled without you.

Integrations

AI inside the tools you already use. Email, calendar, Slack, CRM.

The biggest gains aren’t in a chat window. They’re when AI turns up where the work already happens: your inbox, your pipeline, your documents, your team’s channels.

We connect it with tools like Zapier and Make, or a few lines of script, and keep it simple enough that it won’t break the first time someone renames a column.

• Which connections pay off quickly, and which are vanity
• Zapier, Make and built-in integrations: when each makes sense
• Automations that survive your team actually using them
• Rolling it out so people adopt it rather than route around it

AI becomes part of how the business runs, not a tab you remember to open.

APIs

Plugging AI directly into your systems, at whatever scale you need.

Behind every AI tool is an API: a way to send work in and get results back, automatically and in volume. It’s how you go from using AI to building with it.

You won’t be writing the code. You will understand what’s possible, what it costs and what to ask for, which is most of the battle.

• What an API is and why it matters to you, in ten minutes
• What should be automated at all, and what shouldn’t
• Cost, reliability and the trade-offs between models
• Briefing a developer, or an agent, to build it right

You can scope and commission AI work with confidence instead of nodding along.

Open source

Running AI on your own machines, for when the data can’t leave the building.

Not everything belongs in a cloud service. Client data, legal, medical, financial, anything under NDA. There are now very capable models you can run privately, on your own hardware or in your own cloud.

We look at where that makes sense for you, where it doesn’t, and what it actually takes to set up.

• When private or local models are the right call
• What you give up versus the big providers, honestly
• Practical setup: what it needs, what it costs
• Compliance, privacy and keeping control of the data

You know exactly where your data goes, and you can say so to a client.