What we set out to build
To demonstrate applied AI capability to a trade-services group by showing working software instead of describing experience.
What was built
- A three-claim strategy led by a real, working integration adapter for the group's own field-service platform
- A portfolio artefact alongside the conventional documents
What it achieves
- The central claim is demonstrable rather than asserted: the adapter exists and runs
The stack
Python, simPRO, Xero.
Common questions
How was this built?
This one is ours: tooling built for the studio itself rather than a venture with a founder. We label every case study, because a studio that publishes its prices and argues the other side of its own comparisons has to be equally precise about its own portfolio.
What state is it in?
Delivered. We state that plainly rather than describing everything as production: several things here are deliberately gated, and the reason is usually evidence rather than a missing feature.
Can you build something like this for us?
That is the point of publishing it. The same patterns are in the catalogue at published prices, and you can scope your own version on the plain-English page without contacting us first.
Where to next
If something here is close to what you need, the same patterns are in the catalogue at published prices, or you can describe your version in plain English and get it scoped and priced without talking to anyone.