Speed is a design decision, not a promise.

01 — The problem

Where integration time goes

Very little of an integration budget goes on the hard decisions. Most of it is volume: the twentieth endpoint, the next field mapping, retry logic, schema migrations, documentation.

The usual answer is more people — which adds coordination, which adds calendar.

02 — The lever

What we change

• AI

  In the loop across implementation, testing, migration and documentation — the volume work, compressed

  As many agents as the job needs, running in parallel

• GPU

  Compute for the work that runs in parallel: training, simulation, batch processing, large data transforms

  500+ GPU hours of compute so far

• Small

  One senior developer directing the agents: no coordination layer, no hand-offs

  YouDeveloper

  1 person/0 hand-offs

  Replies within a few hours

03 — The process

How an engagement runs

1. Scope, plan and price, usually within 24 hours

   Live<24h

   One conversation about which systems need to connect and what the manual work costs you today, then a written scope, plan and price. Right now that's usually under 24 hours, often sooner. If the project is a bad fit, you get a plain no here.

2. Define done before building

   Written acceptance criteria for what moves where and what happens when a record fails, plus an evaluation set if a model is involved. If we can't say how we'd know it works, we don't start.

3. A working result in week one

   LiveWeek 1

   Something you can run against your own data, not a design document. Then short iterations, with the failure cases shown rather than buried in a status report.

4. Hand over properly

   Code, documentation, running costs and known limitations. No lock-in: run it, change it or take it elsewhere.

04 — When it's urgent

When a connection breaks, we stay on it.

A vendor changes an API, a webhook goes quiet, orders stop moving. You get continuous effort until it runs again, nights and weekends included, not a ticket in a queue.

05 — The limits

Where this does not apply

Compute does not compress everything.

• Other calendarsProcurement, security review, regulatory approval and clinical validation run at their own speed.
• Novel researchGenuinely new work is not a scheduling problem, and treating it as one produces confident nonsense.
• Unspecified workA system nobody can specify does not get faster by being built quickly. It gets rebuilt.