You can't train 900 people into AI experts. You don't need to.

The plan where everyone learns to prompt their way to productivity founders on the same rocks every time: nobody has the hours, quality depends on who typed the question, and nothing that works gets shared. A handful of people build the assistants; everyone else just uses them.

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Why the training approach stalls.

Every organisation that starts here ends up in the same place, and it isn't for lack of enthusiasm.

  • The enthusiasts fly. Everyone else opens the tool once and never goes back.
  • The prompts that work live in someone's head, or a spreadsheet nobody maintains.
  • Answer quality depends on who typed the question, which is no basis for regulated work.
  • Every new starter resets the clock.

Prompting is a skill that takes practice. Using a tool that already knows the job is not.

A few builders, and everyone else just works.

An assistant is built once, by the people who understand the work, and published to the teams who need it.

Built in plain language, by the business.

An assistant is a brief, not code: the instructions, the model, the documents it may read, and who is allowed to use it. Business power users build them. There is no AI engineering function to hire.

Tested before anyone relies on it.

A side-by-side test panel, draft and publish with version history, approval before anything goes live, and one-click rollback the moment something regresses.

The quality sits in the assistant, not the user.

Everyone gets the same grounded answer, cited back to the source document, whether or not they are any good at prompting.

Published to exactly the right people.

Assistants are scoped to teams with role-based access, so the HR assistant reaches HR and nobody else.

An assistant is a brief: instructions, model, knowledge, access. Click to enlarge.
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What people ask before they commit to this.

Q.01
What if nobody in the business wants to build one?
Then you start with one assistant and one team. The Founder Programme is deliberately a single use case: we build the first one with you while your people watch how it is done. The second takes hours rather than weeks.
Q.02
What's the path from one assistant to one hundred?
A proper build experience: prompt authoring, test bed, draft/publish, version history. Your second use case takes hours, not weeks; your hundredth doesn't need a new platform.
Q.03
How do we stop people misusing them?
An acceptable-use gate on every request, guardrails with PII detection and redaction, and an immutable audit log written to your own Azure Log Analytics. Every assistant runs under your acceptable use policy, and any of them can be switched off.

Bring the team you'd start with. We'll build the first assistant.

Thirty minutes on the work that would benefit, who does it today, and what would have to be true for your business to trust the answer.

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