How we work

Four steps, laid out in full below - what happens at each one, roughly how long it takes, and exactly what you get out of it. Ranges are typical starting points; your Discover call sets the real numbers for your project.

01Discover

typically 3-5 days

We map your data, systems, and goals - whether you're starting fresh or already live. This is a working session, not a sales call: we're trying to find the real shape of the problem before anyone commits to a solution.

Audit of existing systems, data sources & constraints
Written scope: deliverables, timeline, and price - before work starts
Map where AI changes the outcome - and how much of it the job needs

02Build

typically 2-6 weeks, scope-dependent

Platform, pipeline, and infra - deployed on whatever cloud you run. We work in short, visible increments rather than disappearing for weeks: you see structured data, working endpoints, and a deployed environment as they land, not just at the end.

Regular check-ins against the written scope, not silent progress
Infra provisioned in your cloud account from the start - no migration later
Scope changes documented and priced before we build them, not after

03Add intelligence

scoped at Discover, built on the pipeline

The AI layer we scoped at Discover gets built here, on top of the pipeline - sized to the job, from a single classifier to a full agent. We evaluate it against your real data before it goes live.

Built on structured, trustworthy data - not raw inputs
Scoped to specific, bounded decisions
Human-in-the-loop review wherever the stakes call for it

04Ship

handoff, not a cutoff

You get a running system, not a handoff document. Source code, infra access, and documentation land in accounts you control - and we stay reachable for the fixes and follow-ups that always come up once something is actually in use.

Full ownership transfer: code, credentials, and documentation
A short post-launch window for the issues real usage surfaces
Clear next steps if you want to extend the system later

Step three is sized to the job, not skipped. Sometimes that's a single classifier in the pipeline rather than a full agent - and we'll tell you when the smaller answer is the honest one, not just when it's the cheaper one.