For Geelong operators who want a working pilot in weeks, not a year-long programme.

Our goal is to give Geelong businesses a three-day weekend, so people can spend more time with their families and the people they love :)

Most of our Geelong engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI recruiting is then designed against the detail, not the shape.

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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI recruiting compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKoala Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The Geelong context, plainly.

  • Geelong has rebuilt itself around health, education and advanced manufacturing since the car plants closed - AI here supports a city that's already proven it can reinvent.
  • A major hospital redevelopment, Deakin University's waterfront campus, and a manufacturing base that's shifted from cars to precision and renewables work. Geelong teams want AI that fits a city used to modernising fast.

We work with teams across Geelong: Geelong CBD · Newtown · Belmont · Corio · Ocean Grove · Torquay.

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How we build AI recruiting for a Geelong team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Geelong business, so value lands before the build is finished. AI candidate screening.

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How the work runs

The outcome for Geelong teams

The shape of the result for Geelong teams: Time-to-shortlist drops from 3 weeks to 4 days. Built on Claude, hardened with the rest of the stack as it scales.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

How long does AI recruiting take to ship for Geelong businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Geelong businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

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.

Who owns the code and the model setup?

You do, on delivery. We deploy AI recruiting into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.

Ready to talk specifics?

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.