AI workflow systems for operations teams · Remote-first across the US
Bring us one recurring workflow — documents, an inbox, lead intake, or knowledge nobody can find. We map it, build a working version around the tools you already run, and in two to six weeks your own staff are using it on real work. Then you decide whether it deserves a full rollout. If it doesn’t, we say so.
638,184
Parcels scored in one statewide model
1.55M
Clinical records processed
$2.57M
Revenue placed under measurement
2.6×
Measured lift on one client's best channel
Start here
Pick the one that sounds like your week. Each is a first engagement we have run before, and each ends with something your staff actually use.
Not sure yours is worth automating? Score it in forty seconds — six questions, no email required. Or see all services.
After the prototype
A prototype proves the idea. These are the things we build once it has, and any of them can be the whole job if that is what you need.
If your data cannot leave
Most “chat with your data” tools work by sending your records to somebody else’s server. For a lot of businesses that is the end of the conversation — patient files, client records, anything under contract.
We have built the other kind. A government client needed 637,000 property records searchable in plain English, on hardware they controlled, with nothing leaving the building. The model ran on their own machine and answered from real database queries rather than guesswork, so it could not invent a record that was not there.
How we build private AISelected work
Clients are described by sector and scale rather than named. Every figure is real.
Consumer & Beverage
185 products, 22 months and $2.57M of transactions — reconciled, normalised for footfall, and turned into a tap list that pays for itself.
Public Sector & Real Estate
Every parcel in the state scored on the same 45 measures, so that “which property should we buy next?” finally had an answer that did not depend on who walked in the door.
Public Sector
The obvious tool was off the table, because sending government property and owner records to somebody else’s server was never going to be approved.
Healthcare
Sepsis kills faster the longer it goes unnoticed, and the standard bedside scores catch it late. The question was whether the machines already in the room hold enough signal.
Healthcare policy
The job was predicting how long patients stay in hospital. The honest finding was that the data had nothing more to give.
How the first engagement works
We sit with the people who do the work, follow one process end to end, and find where it actually stalls — usually somewhere nobody has looked at in years.
We build a working version against your real tools and your real data. Not a mock-up, and not a slide.
Your own staff run it on live work for a week. Edge cases surface here, which is the point of doing it small.
You decide whether it earns a full rollout. If it does not, we say so — and you have spent weeks, not quarters, finding out.
Questions
What you are not signing up for
We build around your email, CRM, spreadsheets and accounting software. No migration, no new platform to learn.
Where data cannot leave the building, it does not. On your hardware, no third-party API in the loop.
The first engagement is bounded on purpose: one process, two to six weeks, one decision at the end.
We have told clients to stop. It costs us a project and keeps the relationship, which is the better trade.
Next step
Bring one process, inbox, document type or bottleneck. We’ll tell you whether it is worth building — and what a first pilot would look like.
What happens next