Step 1: understand how work moves today.
We start by mapping one complete process: where information enters, who decides what happens next, and where work stalls. We look at what your existing tools already do before adding another system.
Step 2: define the boundaries.
Which steps are deterministic? Where can AI help with extraction, classification or drafting? Which actions require a named person to approve them? These answers determine the workflow.
Step 3: test with realistic examples.
We use representative synthetic cases before any live access. A first pilot should show whether the proposed workflow helps, what the exceptions look like, and what it actually costs to operate.
Step 4: evaluate before extending.
We assess speed, error handling and user effort, not just the number of steps marked automated. Only proven patterns should become reusable software.
Early-stage founder-led practice. The full self-service software platform remains in development. Individual pilots are considered only after scope and terms are agreed.