Forward-deployed AI engineering  ·  Sydney

AI, built in.
Not bolted on top.

It runs inside the process your people already use, so nobody has to remember a second system. You own it: the outcome, the proof of concept, and the tools.

Where it goes wrong

You already have the AI. You don't have adoption.

What you buy

What you actually buy.

Defined outcomes

A scope and a price agreed before we start, not a runway that quietly extends.

You know what you are paying for and what finished looks like, before day one.

Proof-of-concept work

Every idea gets tested against your real data before it becomes a commitment.

You see it work, or you see exactly why it does not, before either of us goes further.

Your own tools

Everything we build lives in a repository you control, not one we host for you.

You own the source outright. No exceptions, nothing held back.

How we work

The method, in public.

Every stage below has a fixed duration and a fixed deliverable. See the whole process, gate included, before you talk to us.

See the full method →
01

Access

Day zero, before we arrive

Credentials, a systems inventory and a stakeholder map.

02

Shadow

The first days on site

A record of how the work actually happens, taken from the people doing it, not the people describing it.

03

Map

Running alongside the shadowing

A gap map: how the business runs against how it says it runs, with every line tied to a name or a file.

04

Build

Every engagement, at every length, including two days

A working system, built against your real data, not a mockup of one.

05

Show and hand over

The last day

A ranked list of what else is worth building, and a written decision on whether to continue.

What we refuse to do

This is the whole list.

We do not record hours spent on your engagement.

No hours-spent field, no utilisation figure, no billable ratio, anywhere. The moment that number exists, someone attaches a target to it, and an engineer optimising for hours is a consultant, whatever the title says.

The decision to continue past the assessment is not written by the people who ran it.

A principal who was not on your engagement reviews the gate and writes their own sentence, not a signature. The two people who spent days inside your business, and are proud of what they built, are the worst placed to judge whether to leave.

We do not let a twelve-week embed drift into an open-ended one.

What counts as finished is written into the agreement at kickoff, not negotiated once we are inside. A longer engagement is a separate decision, with its own scope and price, made after this one is done.

We do not hand you a claim we cannot point at.

Everything in a document we give you is tied to a name, a quote or a file, or it is marked an assumption with an owner against it. Never neither.

We profit if you decide your business needs this.

We sell assessments and embeds. When we tell you your business needs one, that conclusion earns us money, every time we say it. If a consultant has ever told you what you wanted to hear rather than what was true, you already know why that matters here too. Weigh what we say with that in mind.

Ownership

What you own when we leave.

There is no performance guarantee on this page. We can't publish its terms, its measurement window or its remedy, so we don't. Ownership does that job instead, in five things, every time.

Who this is for

Built for two kinds of business.

Mid-market, no CTO.

Ten to a hundred million in revenue, run by the owner or the operations lead, with nobody in the building whose job is to own a technology decision.

You need someone who can walk in, understand how the business actually runs, and build without a translator in between.

Regulated professional services.

Firms where compliance decides what a system is allowed to touch before anyone asks what it should do.

We build inside that constraint from day one, not as an afterthought bolted on after an audit finds it.

Who this is not for.

  • You want a vendor to run this for you, not a system you own outright.
  • You already have a CTO or a platform group who can build this in house.
  • Pre-revenue startups.
  • A proof of concept you never intend to run.
  • A headcount replacement story.
  • No named person whose week actually changes if this works.
  • A system of record too unreliable to build against.
See who we work with →

Three operators. One studio.

We build AI and ship it. We do not just talk about it.

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Young Choi
Builds the model on your data.

Sits with your numbers before anyone writes a line of code, so the business case is proven against what you actually have, not a deck.

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William Bakhos
Wires the build to demand.

Makes sure what gets shipped shows up where revenue is actually decided, not filed away as an internal tool nobody opens.

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Pravesh Datt
Ships the system, end to end.

Writes the code, deploys it, and stays on call until it is running on its own, in your environment, under your name.

More on how we work →
What it costs

We do not publish a price. We publish the method.

The first step runs two to five days on site: shadowing how the work actually happens, then building something real against your own data. You get a price and a scope in writing before we start.

If an embed follows, that is a second decision, made only after the assessment is done, with its own scope and its own price.

Read more about the first step →
Get in touch

Struggling to make AI real in your business?

Send the form below. One of the three of us reads it and replies by email, usually within two business days.

Goes straight to the three of us. We do not pass it on, and there is no mailing list.

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