The boring work runs itself. Your team does the rest.
We build AI agents that handle the repeatable work inside your business — quotes, orders, spec checks, reports, follow-ups. Trained on how your business actually operates, not on generic templates. Hosted in your own cloud, or ours. Your call.
Built for Australian manufacturers, distributors and the sales teams behind them.
01
Most businesses don't need AI everywhere. They need it in one place.
There's usually one process quietly costing you more than the rest. Quoting that takes two hours. Orders re-keyed between systems. A senior engineer answering the same question for the fourth time this week.
We find that process first, prove it's worth doing, then build for it. If AI isn't the right answer, we'll say so.
02
We work where the work is repeatable, technical and slow.
Manufacturing
Spec interpretation, quoting, BOM and part lookups, compliance paperwork.
Distribution
Order processing, supplier and stock queries, pricing consistency across customers.
Sales support
Turning an enquiry into an accurate quote without waiting on the one person who knows the product.
Before any of it, we find where AI actually pays. Not the flashiest process. The one with the biggest return for what it costs to build. You get that assessment in writing before you commit to anything.
03
What this looks like in practice.
An industrial controls business came to us with a quoting problem. Every enquiry took a qualified engineer between 90 minutes and two hours. Prices varied depending on who answered. New engineers took four months before they could quote unsupervised.
We designed an agent trained on their product data, pricing rules and past quotes. The targets:
Design targets
- Quote turnaround under 15 minutes
- The same price for the same job, every time
- New starters quoting inside a week
- Alternatives and add-ons suggested automatically, without needing deep product knowledge
Scoped engagement, industrial controls sector. Figures are design targets.
04
Your data doesn't leave your business.
Run the agent inside your own environment — your Azure tenancy, your AWS account, or on a server in your building. Nothing goes anywhere you haven't approved.
If you'd rather not manage infrastructure, we'll host it for you, with your data kept in Australia. Either way your data is yours: it isn't pooled, resold, or used to train anyone else's model.
You own what we build. If you ever want to take it in-house, you can.
05
Four steps. No surprises.
1. Discovery
We sit with your team and find the process worth automating. You get a written case for it, including what it will and won't fix.
2. Build
We build the agent against your real data and your real edge cases. You see it working before you commit to rolling it out.
3. Deploy
Into your environment or ours. We train the people who'll use it every day.
4. Run
We keep it accurate as your products, prices and processes change. Ongoing support, agreed annually.
We take on a small number of clients at a time. That's deliberate.
06
Tell us where the work is getting stuck.
No form, no discovery call funnel. Email us with three things and you'll get a straight answer, usually the same day:
- The process that's slowing you down
- Roughly how much time it costs your team each week
- What you'd do with that time instead
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