AI-native engineering consultancy · Senior-led, AI-scaled

AI-native engineering for teams that can't afford to get it wrong.

Senior engineers who use AI.
Not AI pretending to be senior engineers.

Proof 1

We ship our own products.

Our gaming studio, MAKENZO Games, builds real games with the same process we sell. If it breaks, it breaks on us first.

Proof 2

We publish our method.

Every step is written down, including where we refuse to use AI. Read it before you hire us.

Proof 3

We clean up after bad AI usage.

A lot of our work is taking apps built quickly with AI tools and making them safe to run a business on.

Three ways to work with us.

Where you are decides where we start. Each one begins with a short, fixed-price engagement.

Assess

Step 1

Find out where AI will help your team and where it will hurt you.

We look at how your team builds software today and give you a plain-English plan.

Starts with
AI Readiness Audit · 1–2 weeks · fixed fee [$X,XXX]

Build

Step 2

Ship software faster, with a senior engineer accountable for every line.

AI does the typing. A person owns the design, reviews every change, and answers for the result.

Starts with
Scoped engagement · quoted after Assess

How we build.

Five steps. A person owns three of them outright and has the final say on the other two. This is the same process our own studio uses.

A person does this AI drafts it, a person approves it

Where we don't use AI at all

  • Security-critical code.
  • Deciding how your data is structured.
  • Anything we couldn't explain to you in plain English.
  1. 1

    Spec and constraints

    We write down what it must do, what it must never do, and what could go wrong. A person.

  2. 2

    Agent-assisted implementation

    AI writes code against that spec, one small task at a time. AI drafts.

  3. 3

    Human review gates

    Nothing touching logins, data, money, or patient records ships without a senior engineer reading it. A person.

  4. 4

    Generated and curated tests

    AI proposes the tests. A person decides which ones actually prove something. AI drafts, a person approves.

  5. 5

    Ship and observe

    Automated releases, monitoring, and a written runbook so your team can run it without us. A person.

Case study · MAKENZO Games

Double Dutch Derby, built the way we build for clients.

A live, shipped game. Every line was written by AI and every line was read by a senior engineer. We show what went wrong along the way and how review caught it.

Read the case study →
1
person on the team
1
week to ship
100%
of code AI-written
100%
of code human-reviewed

Who we work with.

Engineering leaders in high-stakes industries.

CTOs and VPs in healthcare, finance, and anywhere a bad release is a compliance problem. You want the speed of AI without the exposure.

Founders who shipped a prototype.

You built it fast with AI tools, people are using it, and now you need it to hold up when someone looks closely.

Questions we always get.

Does my code or data end up training a model?

No. We use business or self-hosted AI services with training turned off, and we put that in writing. Sensitive records never go near a model.

Can anyone maintain AI-written code?

Yes, when a person owns the design and reviews every change. Everything we hand over comes with tests, documentation, and someone who can explain it.

Aren't you a one-person shop?

Senior-led, AI-scaled. One accountable engineer with the output of a small team, plus specialists when the work needs them. You always know who's responsible.

Start with one week and a written report.

The Codebase Health Check is fixed-price and fixed-scope. You get a prioritized list of what's wrong and what it would take to fix. Hire us for the fixes, or don't.