Four stages, and you can stop after any of them.
Nobody should commit to a year of anything on the strength of a demo. The work is deliberately staged so that each stage produces something you keep.
Find where the week actually goes.
A short paid diagnostic. We sit with your leadership, walk your systems, and follow the work that people do by hand between them.
What comes out is a written map: where information gets re-entered, where decisions wait on someone assembling a spreadsheet, which processes are worth automating and which are not, and an honest estimate of what each one is costing you a year, including the ones where the answer is to fix the process rather than automate it.
The map is yours whether or not you continue. If you take it to somebody else, or do the work internally, it still holds.
Build the context layer before building any agent.
Most AI projects fail here and blame the model. The Brain is what makes the second, third and fourth agent cheap.
We connect the Brain to your real systems — ERP, CRM, accounting, file storage, email, whatever the map said matters — and load it with how your company actually talks: what a "job" means to you, which customers are strategic, which numbers are the ones people trust.
It goes into production and real people use it. A pilot in a sandbox with invented data never surfaces the problems that matter.
One agent. One process. Measured.
Fixed price, and compared against the baseline we wrote down in stage one — not against how it feels.
We pick the process with the best ratio of value to friction, usually not the one that sounds most impressive. The agent runs alongside the humans doing that work today, and for the first weeks its output is checked every time. When the corrections stop being interesting, the checking loosens.
A named person on your team approves the agent's output before it goes anywhere, and that stays true after the checking loosens.
And then we operate it.
Adaptive intelligence, built to evolve with your business. In practice that is four things we do every month — and it is the part most of this market skips, which is why things that worked in March stop working in September.
We monitor it
Failures, drift, silent breakage when a system upstream changes its format. You hear it from us first.
We tune it
Models change, your business changes, your vocabulary changes. The network is adjusted against both.
We report in your numbers
Hours removed, errors caught, cycle time. The terms the map set, in your units.
We add the next agent when it earns its place
Each one inherits the Brain's context, so it costs a fraction of the first. Nothing gets built because it would be interesting.
What we need from you.
Short list, and the first item is the one that decides whether this works.
A few hours a week from someone who knows the process
Not the owner necessarily, but somebody who can answer "why is it done that way". Projects like this stall for lack of this far more often than for anything technical.
Read access to the systems on the map
We work with what you already run. Write access comes later, narrowly, and only where a human approves the action.
One decision-maker
Somebody who can say yes. Design by committee turns a six-week build into a six-month one.
Tolerance for being told no
Some of what you ask for, we will advise against building. That is part of what you are paying for.
Pricing, data and the exit.
For a single process, budget low-to-mid six figures for a first year. The real number comes out of the map — and we size the first build against what the map says that process costs you, so you can see the payback before you commit to it. Your data stays in the environment you already control, access is scoped by area, and nothing is used to train anything.
The first call costs nothing and is mostly us listening.
Tell us what your company does and where the week goes. Most of the first call is us asking questions about how the work moves through your business.