AI candidate screening - wired into a Broome workflow, not bolted on the side.

Broome businesses don't need another generic AI pitch. AI recruiting only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Western Australia.

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

Our field notes from Broome builds.

  • Broome is Kimberley tourism and pearling, with a dry-season economy that has to earn a full year in six months.
  • Tourism, pearling, Indigenous enterprise and remote services across an enormous region. The wet season shuts much of it down, so peak-season capacity is the whole commercial question.

We work with teams across Broome: Broome CBD · Cable Beach · Old Broome · Bilingurr · Derby.

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How we build AI recruiting for a Broome team.

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

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The outcome for Broome teams

The shape of the result for Broome 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.

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*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 fast could we have AI recruiting in production?

Eight to ten weeks for most Broome 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 Broome 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 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.

What if our Broome 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 recruiting specifically, we typically run that work on Claude, Vapi, Workable, SEEK API, 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.

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