Prove first, then build
With AI that is not a matter of style but a necessity: whether a model is reliable enough in your situation, you only know once it has been let loose on your own data.
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01
Use case and yardstick
One process, with agreement up front on when it is good enough. These documents, this margin of error, this turnaround time.
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02
Proof of concept on your own data
The hardest part first, measured against a set of examples with the right answer.
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03
Hardening and integration
Error handling, a cost ceiling, logging of every decision, approval steps and a fallback for when the model is down.
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04
Phased rollout
First one team or one site, then the rest. Never one moment where everything has to go right.
What you get from us, and what we ask of you
We work in steps that each deliver something you can look at.
Someone who actually does the process
Half a day every two weeks. That person knows where the exceptions are, and that is where the work is.
Something that runs, every two weeks
Every two weeks a new version and a demo. You see it grow and can adjust while that is still cheap.
After every step you can stop
You are not tied to the whole because you said yes at the start. After the proof of concept you see on your own data whether it meets the yardstick we agreed in advance.
The people who build it
You talk to the developers, not to an intermediary.
What it costs
We don't give a ballpark price for something we haven't seen. In the first half hour you hear whether AI is the right answer, roughly what it costs and what it takes. That conversation is free of charge.
After that you get a proposal with a price: what we build, what it costs and what is not included. What we don't know for sure is in the document as an assumption, not in the small print.
Measurable in hours per week
Agreed in advance, checked afterwards.
Handover or maintenance
You take it over yourself with the documentation, or we maintain it. Both are fine; we have no stake in which.
What happens to your data
Your data trains nobody's model
Business contracts that rule it out — or fully on-premise.
Personal data filtered
Taken out before anything goes to a model.
Every decision traceable
What went in, what came out, which source. No black box.
No lock-in to one supplier
Built supplier-independent; switching doesn't take a rebuild.
Half an hour costs you nothing
Tell us which process takes the most manual work. We will tell you honestly whether AI is the solution for it, or whether something else needs to happen first. That advice is free, even if you decide not to continue with us.