Decide fast. Reverse cheaply.
Low-cost, reversible choices: UI layouts, synthetic test data. We execute at maximum velocity in our open-source Prototype Factory sandbox, testing ideas at thought-speed.
We restructure how software is built around what an agentic pipeline can manufacture. We don't bolt AI onto a legacy process.
Traditional delivery says you can pick two of speed, cost, and scope. AI-native delivery breaks the picking. Here is why. Below is how. On a current UK retail data platform engagement: at least 5x lower cost than a traditional build, and more than 10x faster in pace, measured against documented agency benchmarks. Tracked in live velocity logs, not claimed in slides.
The client owns the outcome. You define what success looks like, provide the inputs, and set the constraints. The outcome leads; everything downstream serves it.
We translate intent into deliverables. The agentic Code Factory pipeline manufactures microservices, schemas, and test matrices concurrently under senior human oversight.
You verify outputs meet intent. No implementation-approval theatre. We present working outputs; you make the judgement calls that only a human should make.
Six steps. One calendar week. At the end of it, a brief your delivery pipeline can act on without a single follow-up meeting.
We sit with the executive sponsor, the functional owner, and the technical lead. We surface what each one knows that the others do not.
Every decision goes into one of two buckets. Reversible choices like UI layout, naming, packaging (Two-Way Doors) move fast. Irreversible choices like data schema, authentication, core integrations (One-Way Doors) get proper scrutiny. Speed where it is safe. Care where it is not.
Old specs, prior tickets, existing schemas, naming conventions, recent post-mortems. Nothing gets rewritten from scratch when a credible source already has the answer.
Before any production code, we build a throwaway working slice in an open-source sandbox so everyone can react to the shape of the thing. Disagreement surfaces in front of a screen, not inside a 40-page specification.
A command sweep validates the emerging brief against your real codebase, conventions, and constraints. Gaps show up here, on day four, not in week eight when the build is half done.
The week ends with a machine-readable brief that captures the seven things a delivery pipeline needs before it can run without surprises. See below.
Seven things. If any of them is fuzzy on the day delivery starts, the build will pay for it later.
Who has the pain, and what does success look like for them.
Specific, observable, traceable. Not aspirations.
What is in. What is out. What we are deliberately ignoring.
Which repositories, services, and data sources the work touches.
If it goes wrong, what breaks, and how we get back.
The standards the work has to meet before it ships.
Real data, synthetic data, or a static fixture. The boundary is explicit.
Low-cost, reversible choices: UI layouts, synthetic test data. We execute at maximum velocity in our open-source Prototype Factory sandbox, testing ideas at thought-speed.
Critical, irreversible architecture: database patterns, auth models, core API integrations. We subject these to rigorous, evidence-based scrutiny before manufacturing a single line of production code.
We will walk you through a real engagement, the brief that came out of it, and what week two delivered. No pitch deck. No commitment.