01
See the system
People, data, incentives, and the decisions that currently fail. A current-state you can defend in a room that disagrees.
Method
Integrative AI lives inside the work, not beside it.
We do not drop a model on a mess and call it transformation. We design the shared brain first — data, decision rights, human workflow — then the intelligence that can actually run there.
02
Name the brain
What must be true in one place: the objects, the authorities, the single picture everyone will use tomorrow morning.
03
Architect it
Human + data + AI + governance. Enterprise architecture as an operating design, not a slide with boxes.
04
Stand it up
First use cases, metrics, and the workflow people will follow when no consultant is in the building.
05
Transfer
The studio leaves an owned system. Your team runs the brain. We remain on call for the next scale of the same problem.
What you actually buy
Three ways in. No vague retainers without a product.
01
Diagnostic — about three weeks
A written current-state: where decisions stall, which data is lying, which silo is expensive. Ends with a recommended architecture and a 90-day plan. You can take the document and staff it yourself.
02
Architecture engagement — a quarter
Design of the shared brain: operating model, data objects, integrative AI placement, and the first working slice. Built with your operators, not for an audience of sponsors.
03
Named-system build
When the job is a platform — CLASS lineage, MPC lineage, submissions operating system, national information layer — we design and stand up the thing itself, with the team that will own it.
What we will not do
Another silo with a better interface.
We will not sell a chatbot as a strategy. We will not pretend a departmental dashboard is a national picture. We will not staff a six-month study whose only product is alignment.
If the honest recommendation is “do not build this,” that is the work. Write if you want that kind of partner.