Melbourne sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI quoting template would catch.
AI quoting that lives in your stack, not on a vendor's roadmap. Shipped from Victoria.
Our goal is to give Melbourne businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI quoting actually does
Customers send a photo, a brief, or a voicemail - AI drafts a structured quote in your pricing format. You review, tweak, send. Quotes go out the same day, not next week.
- 01 Reads photos, voice notes, emails, and PDFs
- 02 Uses your pricing rules and current material costs
- 03 Drafts in your branded template, ready to send
- 04 Tracks win/loss to make the next quote sharper
Built on: Claude Vision Whisper Xero Vercel
Without Koala Dynamics
With Koala Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI quoting runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Melbourne businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI quoting compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Koala Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
What we keep seeing in Melbourne.
- Melbourne's economy runs on education, healthcare, retail and a dense creative and hospitality sector - AI earns its keep here on volume and margin, not novelty.
- Two of the country's biggest universities, a major hospital network, and a retail and hospitality scene that never really slows down. Melbourne teams are practical about tools that save real hours across rosters, bookings and back-office work.
We work with teams across Melbourne: CBD · Docklands · Richmond · St Kilda · Box Hill · Dandenong.
Talk to us about this →
How we build AI quoting for a Melbourne team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Melbourne business, so value lands before the build is finished. AI-generated quotes.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Melbourne businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Melbourne teams
What changes for Melbourne teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Quote turnaround drops from days to under an hour.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How fast could we have AI quoting in production?
Eight to ten weeks for most Melbourne businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Melbourne businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Anyone else in this space using AI quoting?
Plenty. Quote turnaround drops from days to under an hour. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
What if our Melbourne doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI quoting specifically, we typically run that work on Claude Vision, Whisper, Xero, Vercel and assume messy starting conditions from day one.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.