Analyze, build, run.
Three phases, each with a result you can hold. You can stop after any of them and keep what you have.
Map the process
We sit with the people who do the work and draw what really happens, exceptions included. We measure volumes, waits and rework.
Result: a process map, the numbers behind it, and a ranked list of what is worth automating.
Build the complete thing
We build one system, not a pile of features. Deterministic rules where the outcome must be certain, AI where judgment helps, and software around both that your people use every day.
Result: working software in your hands every two weeks, tested against your real cases.
Let it run, read the trace
The system goes live, step by step. Every decision is logged with its inputs and its reason, so you can always see why something happened.
Result: a process that runs on its own, a log you can audit, and a team that stays on to tune and extend it.
How we work with you
One team, start to finish
The people who analyze your process are the people who build and run the system.
A demo every two weeks
You see working software early and often, and you steer it while it is still cheap to change.
You own everything
Source code, data, documentation and infrastructure accounts are yours from the first day.
Plain answers
If something is not worth automating, we say so. If we made a mistake, we say that too.
Deterministic where it matters
An agent does not improvise its limits. They are written as rules you can read, and the AI only works inside them. This is a real rule from the Lab demo:
The decision agent in the Lab runs exactly these rules. Change the limits there and watch the decisions change.
Tell us about the process that keeps you up at night.
A 30-minute conversation, no slides. We will tell you honestly whether it is worth automating, and what it would take.