We've worked with enough operators in Melbourne to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI recruiting project is sit with your team for a day before we propose anything.
Built and supported here - the way a Melbourne business would actually use it.
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 recruiting actually does
Job ads written for SEEK, Trade Me, and LinkedIn. CVs screened against role criteria with reasoning. Phone screens done by voice AI - so shortlists land on your desk ready to interview.
- 01 Drafts compliant NZ job ads with realistic salary bands
- 02 Screens CVs and ranks by fit with written rationale
- 03 Voice AI runs first-round phone screens 24/7
- 04 Bias checks built in - flagged in the audit log
Built on: Claude Vapi Workable SEEK API 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 recruiting 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 recruiting 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 |
Where Melbourne operators actually lose hours.
- 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.
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How we build AI recruiting 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 candidate screening.
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
We'd call the engagement a success when Melbourne teams are using the system without thinking about us. Time-to-shortlist drops from 3 weeks to 4 days.
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
When does AI recruiting actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Melbourne - so the savings start landing before the rest of the build is finished.
How do you price AI recruiting engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Melbourne businesses are surprised how small the first cheque is.
Anyone else in this space using AI recruiting?
Plenty. Time-to-shortlist drops from 3 weeks to 4 days. 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.
Will this run on our own infrastructure?
Yes, where it makes sense. AI recruiting can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vapi, Workable, SEEK API, Vercel but the architecture supports your existing platform choices.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.