Enterprise systems from AI-generated code

We take AI-built prototypes and turn them into enterprise grade systems, users trust and businesses value.

Book a production readiness review Book a production readiness review

The hidden cost of vibe coded products

+81%

better agent output when tasks arrive with real context

+81%

code duplication, the highest level on record

– 23m changes

19%

slower with AI on real issues – while feeling 20% faster

– randomised trial

~90%

of technology professionals use AI at work – throughput and instability rise together

From prototype to production

A short, fixed-cost review of your AI-built codebase. We find what is fragile, then hand your team a plan to make it production-ready.

We identify

Architectural drift nobody decided on

Secrets hardcoded into the repository

Database permissions left wide open

Poorly constructed tests that always pass

HARDENING

What you get

Every path including the ugly ones

Data that arrives malformed, hostile or absent

Tenancy and permissions that actually hold

Tests that you can actually rely on

Two weeks to a grounded plan

Production Readiness Review

Take charge of your prototype and know exactly what you have.

First

We read it

You grant read-only access. We map the architecture, data model, dependencies and permissions – and flag every decision nobody made on purpose.

Then

We test it

We break the tests that pass to see which ones notice. We trace permissions, check contracts against each other, and find the one-way doors already behind you.

At the end

You get the plan

A written assessment, a risk register ordered by cost of delay, and a hardening plan with estimates. Then we walk through it with your team – what we found, why it matters, and where we'd start.

Fixed cost / 1–2 weeks, sized to your codebase / Read-only access / No commitment

Your codebase sets the length. The price is fixed before we start – no open-ended billing.

It ends with a document and a decision. Sometimes the honest answer is “don’t build on this” – better to hear it after two weeks than after six months of rebuild. Either way, the document is yours.

A system of human experience and machine intelligence

The model isn’t the constraint. What you give it is.

1. Decisions

Architecture, written down with its reasons.

2. Specification

Acceptance criteria. And what must not change.

3. Ready

A human decides the spec is complete enough to build against.

4. The agent

Builds against the specification, not against a prompt.

5. Review

Human code review before anything lands. Generated code is challenged, not trusted.

Want the detail?

Prototype to production

The demo gap

Eight differences between a demo and a system – and why the gap is most of the work.

Working with AI agents

AI writes the code. Experience writes the ticket.

A real specification from a live build, and what makes generated code safe to ship.

AI workflow

We accidentally built our own version of Jira’s AI workflow

Ours runs on any tracker, any repo, any model

Your demo impressed everyone. Now make it survive.

Two weeks, fixed cost, read-only access. You get the findings, the risks and a plan with a clear first step — and the call on what happens next stays yours.

Book a production
readiness review Book a production
readiness review