AI pilot

AI is intriguing or unnerving, but nobody has had time to work out where it would actually help you. Or a tool is already in use, and it changed nothing. Both situations are missing the same thing: a bounded pilot whose result shows up in numbers. Here's how it's done.

  1. We start from a question that doesn't mention AI

    What makes your work harder than it should be? That's the starting point, and then we assess whether AI is the right means for it, or whether the problem is solved better by a process change, ordinary automation or a clearer instruction.

  2. We scope the pilot so it can be measured

    Small enough that the benefit, or lack of it, shows directly. The metric, the material, the responsibilities and the stopping condition are agreed up front.

  3. We run it inside real work

    Not in a demo. We only build things that someone other than the builder can understand.

  4. The result shows up in numbers

    You get a straight answer: this is worth adopting, this is not. For what's adopted, you get a working model, guidance and a note on what to do when the material or the environment changes. Your AI decision rests on your own numbers, not on a sales pitch.

Book a short conversation and tell us what's harder in your work than it should be.