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    AI Education

    Workshops that map onto the work your team actually does.

    Most AI training is a tour of features. Mine starts with your workflows. We sit with the team, watch the work, and rebuild the parts that AI is genuinely better at — in the session.

    What's inside

    Half-day, full-day, or a six-week program.

    1. 01

      Leadership briefing (half-day)

      What AI is good at, what it isn't, and how to decide where to spend. For the people picking the bets, not the people executing them.

    2. 02

      Hands-on team workshop (full-day)

      Your team, your tools, your workflows. We rebuild three real tasks live and leave you with the prompts, the patterns, and the next ten ideas.

    3. 03

      Six-week capability program

      Weekly two-hour sessions plus async coaching. By week six the team is shipping real automation, not just talking about it.

    4. 04

      Custom curriculum for industry

      Healthcare, legal, financial services — sectors where general AI training misses the constraints. Built from the regulation backwards.

    How an engagement starts

    Short, focused, real outcomes.

    1. 01

      Pre-session intake

      I read your workflows, your stack, your data constraints. The session content is built for you — not pulled off a shelf.

    2. 02

      Live workshop

      Half a day or a full day with your team. By the end, three workflows are noticeably better and the team has the muscle to do it themselves.

    3. 03

      Follow-up review

      Two weeks later, 60 minutes. What's worked, what's stuck, what to ship next. The session that makes the workshop actually land.

    Tell me about the team. I'll send back a session shape and a price.

    Common questions

    Online or in person?
    Both. In person for teams ≤ 20 in Gothenburg, Stockholm, Malmö. Online for distributed teams or larger groups.
    Do you certify?
    No. The output is changed behavior, not a certificate. Certificates have never gotten a workflow shipped.
    Who is this for?
    Experts and managers who'll use AI in their actual job. Not data scientists. Not engineers building LLM features — they have other resources.

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