The problem
Plenty of businesses have run the pilot. The demo was impressive, everyone agreed it was the future, and then nothing changed.
The gap is rarely the model. It is that the work sits outside the systems people actually use, nobody owns it once the excitement passes, and nothing about it is accountable enough to trust with a real decision.
What we do
We start from a piece of work that matters — something your team does often, that costs them hours, and that has a right answer. Then we build the AI into the system that work already happens in, with a person reviewing and signing off wherever judgement belongs to them.
Every output is traceable back to what it rests on, so the result is defensible.