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Notes from the workshop

How we decide what is worth automating, what we build, and how we keep it running after go-live. Written for companies of 10 to 250 people.

· 7 min read

Jev model: what can decision AI do, and what does it mean for a company?

The Jev model doesn't write text; it picks from fixed answers, with a probability. What it can do, what it costs and where it helps a company automate.

  • · 6 min read

    What should your company automate? Two weeks will tell

    What is worth automating in a company, and what isn't? The AI Potential Audit spends two weeks measuring where time goes on manual work.

  • · 8 min read

    Quote automation: price quotes without the typing

    Quote automation drafts a quote from the request, the price list and past quotes. The salesperson decides on the price and on sending it.

  • · 8 min read

    AI data protection: where does company data end up? Four questions

    AI data protection: where the system runs, whether the model provider keeps the data, who the subcontractors are, whether there's a DPA. Ask these.

  • · 8 min read

    From Excel to management software: four signs it's time

    Four signs your company has outgrown Excel, and how to move to management software in phases, so you use the first one right away.

  • · 6 min read

    When is automation not worth it? Three typical cases

    When is automation not worth it? When the manual work is a few hours a week, the data is on paper, or the chatbot is just a trend. What to do instead.

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