Start with one thing. Prove it. Then expand.
Most businesses do not have an AI problem. They have a starting problem: too many options, too many people paid to say yes, and no way to know what worked. Our method is built to remove that, one step at a time, with the criteria written down before the work starts.
The steps
Four steps, each one earning the next. You are never committed to a step until the previous one has shown its result.
- Step 1 · 15 to 30 minutes
A conversation
You tell us the one thing you would like AI to do for your business, or the cost you suspect is too high, or the decision you cannot get comfortable with. We ask the questions an operator asks. No deck, no discovery form, no pitch.
What you hold at the endA clear statement of the one thing, in your words, that we both agree is the right place to start.
- Step 2 · Within three business days
Written scoping
We write down what we would do, what it costs, what it should save or earn, how we would measure it, and what would make us tell you to stop. You read it in your own time. There is no charge for this and no obligation attached to it.
What you hold at the endA one to two page scope with a fixed fee, a measure and a kill criterion. You can take it to anyone.
- Step 3 · Two to six weeks
A paid pilot
Small, real and measured. The pilot runs on your actual data and your actual process, with the success criteria, the budget cap and the kill criteria locked before the first hour is billed. If it does not move the number we agreed, you hear that plainly, and you have lost a small fixed fee rather than a year.
What you hold at the endA working result in your business, the measurement that proves it, and a written recommendation: expand, adjust, or stop.
- Step 4 · In the order the pilot earned
Implement and expand
What worked gets built to last: documented, trained into the team, monitored, and connected to the systems you already run. Then the next thing, chosen from evidence rather than a roadmap somebody sold you. Each step is priced on its own, so you are never committed to the step after it.
What you hold at the endAn operation that improves each month, owned by you, with a named person responsible for keeping it working.
The rules
Three rules we do not bend, because each one exists to protect you from a way this usually goes wrong.
Criteria before work
Success criteria, budget cap and kill criteria are agreed and written before anything is billed. Goalposts that cannot move are the only defence against a project being called a success afterwards regardless of what happened.
Measured, not admired
A pilot is judged on the number we agreed, in your systems, not on a demonstration. We report the number even when it is against us. A tool that is not working gets switched off and said so.
Stop is a real answer
The first verdict our decision process ever gave was STOP, to its own founder, on his own project. He took it, and the capital it preserved is what funded this business. We are paid for the right call, not for the build.
What the paperwork looks like
What a client actually receives at each step. Real documents, redacted, as we produce them.
Fees and terms
Conversations and written scoping are free. Pilots, reviews, training and the decision verdict are fixed fees, quoted in writing, and they do not move. Ongoing operations are a monthly retainer you can end with a month’s notice.
We are not registered for GST. The price quoted is the price paid. Your data stays in your systems and in Australian or agreed jurisdiction infrastructure; personal information never crosses into an AI model without being pseudonymised first, and we work within your Privacy Act 1988 obligations.
Everything we build, you own: the code, the configuration, the documentation and the measurements. If you decide to take it elsewhere, it goes with you.
Bring us the one thing you would like AI to do.
A short conversation to understand it, then written scoping at no charge: what we would do, what it costs and what it should save. You decide from there.