An opportunity shortlist
Ranked by value against effort, with the workflows we advise you to leave alone and why.
Services
Most clients use all three in sequence. You can also take any one of them on its own, including the first, and walk away with everything it produced.

Work out where AI fits, and where it does not.
We start with your actual operations, not a model. You get a ranked list of workflows worth automating, the effort behind each one, and an honest account of what your data can and cannot support yet.
Wire models into the systems you already run.
The gap between a working demo and something your team trusts on a Monday morning is where most projects stall. We close it: retrieval over your own documents, agents that call your real APIs, and the evaluation harness that proves it behaves.
Build the product around the model.
A model is not a product. We build the web apps, internal tools, and APIs that put it in front of the people who need it, then ship them on infrastructure you can afford to keep running.
Ranked by value against effort, with the workflows we advise you to leave alone and why.
Running against your real data, with a measured accuracy baseline rather than a demo script.
The test cases that decide whether a model or prompt change is allowed into production.
In your repository and your accounts, under your licence, from the first commit onward.
Per feature, so you can see what each part of the system costs to keep running.
Written runbooks, architecture notes, and time with your engineers until they are comfortable.
A short call is usually enough to tell whether there is anything here worth building. If there is not, we will say so.