AI implementationTomasz Stępnik · a developer, not a slide deck

Knowledge base


Short pieces on implementing AI in a small company so that it works and can be explained to the board. No jargon where it can be avoided, setting names where they are needed.

  • Reports · AI · 6 min read

    Anatomy of the Monday report

    The Monday report is the most common first AI project in a small company, because it is measurable: you know how long it took, and you can see when it arrived. Here is what it is made of, step by step.

  • Data · GDPR · 6 min read

    What not to paste into AI

    The biggest AI risk in a small company is not in the model. It is in the employee who, at ten to five, pastes a client contract into a personal chat account to “summarise it quickly”. Here are rules you can introduce in a week.

  • MCP · Permissions · 6 min read

    MCP on a read-only account

    Connecting an assistant to company data takes fifteen minutes these days. Doing it so that nobody regrets it six months later takes an hour longer. That hour is a separate account, read-only access and a log.

  • Rules · Automations · 6 min read

    Human in the loop

    “AI does not send, delete or pay without a person confirming” sounds good, but in practice you have to decide exactly what gets confirmed, by whom, and for how long. Here is the table I use.

What you will not find here

No model rankings and no predictions of what AI will do in five years. Just the things I check and set up on every implementation. If a topic that stopped you is missing, write to me: I will answer and, if the question keeps coming up, add an article.

Would you rather your team learnt this themselves than outsource it?

AI training for teams: on your own tasks, with clear rules on what not to paste into AI.

AI training