Academy · AI

AI that gets past the tinkering phase.

Most teams have played with Copilot and GPT tools. Few have got AI into real, repeatable work. This programme teaches your own people how to put AI to practical use, build their own small apps, and set the ground rules so the wins keep paying off long after the training ends.

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/ What your team learns

From trying out prompts to delivering real work with AI.

Six skills covering the daily use of AI tools, building your own small apps, and the ground rules that keep it all safe and durable.

Skill 01

Prompt well, again and again

Beyond the clever one-off prompt: reusable patterns, context libraries, and the shortlist of LLM tools each role in the team should actually learn.

Skill 02

AI in the daily workflow

Where AI earns its keep week after week: meeting notes, drafting, research, summarising, translating. Concrete habits each department can adopt on Monday.

Skill 03

Build your own small apps with AI

Tools like v0, Bolt, Cursor and Replit let people without a developer background build genuinely useful internal apps. You learn how to brief them properly, refine the result, and recognise when you've hit the ceiling.

Skill 04

Use AI safely in the business

What you can send to which tool. Data classification, prompt hygiene, and the basics of enterprise-grade vs consumer AI. No fear, no recklessness.

Skill 05

Clear ground rules that hold up

Approved tools list, named owners, usage logs, a quick review when a model changes. A light framework so the AI work stays traceable without turning into bureaucracy.

Skill 06

Keep it running when the builder moves on

Documentation, handover drills and reliability checks that keep your AI-driven work running when the person who built it moves to the next job.

/ How the programme runs

A short online primer, then two focused days in person.

Three stages, six to twelve participants. Each person brings a real example from their own work, and we turn at least one into working AI by day two.

i.

Online primer

About two hours, self-paced. Covers the current AI landscape: what Copilot, ChatGPT, Claude, and vibe-coding tools actually do today, so the group starts with shared language.

ii.

Day one, off-site

A full day at one of our training locations. Prompting, fitting AI into your workflow, and a first go at building a small app. Everyone leaves with a working prototype of their own example.

iii.

Day two, at your office

Two to three weeks later, on your premises. We review what went live, work through the ground rules and continuity plan, and sketch the next wave of AI ideas together.

“
Our people had been experimenting with AI for a year, with nothing to show for it. Two weeks after the programme we had three internal tools running, and a short guide on what we will and won't send to these models.
Academy participant COO, services firm
/ FAQ

AI specifics, straight answers.

Which AI tools does the programme cover?

Microsoft Copilot as the default for teams already on Microsoft 365. ChatGPT and Claude for general LLM work. For vibe coding: v0, Bolt, Cursor, Replit depending on what fits your stack. We bias toward tools you can realistically keep using after the programme.

We're worried about data leaving the company. Can this still work for us?

Yes. A good chunk of day two is about exactly this: data classification, the difference between consumer and enterprise tiers, where your prompts and outputs actually go, and how to set policies your team will actually follow.

Is building apps with AI a real skill or just a trend?

It's both. The tools are moving fast, but describing a workflow clearly enough for an AI to build a first version is becoming a lasting skill. We teach the part that will still matter in two years: framing the problem, reviewing the output, and knowing when to call a real developer.

Do you offer a money-back guarantee?

Yes. If you feel we did not deliver the value we promised, we refund the full programme fee. No long conversations, no small print.

Ready to get AI out of the sandbox?

Book a free thirty-minute call. We'll talk through the tools you use today, the concerns you have, and what the first month of real AI work should look like.

Book a discovery call