Kiwi Dynamics

Bay of Plenty · Applied AI

AI recruiting that lives in your stack, not on a vendor's roadmap. Shipped from Bay of Plenty.

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Whakatāne 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 recruiting template would catch.

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

Bay of Plenty

What we keep seeing in Whakatāne.

  • Eastern Bay of Plenty runs on horticulture, aquaculture, and Māori-led enterprise – AI here works when it respects relationships first.
  • Kiwifruit, aquaculture, marine tourism, and a strong iwi economy. AI tools that work offline and bilingually find their home here.

We work with teams across Whakatāne: Whakatāne · Ōhope · Kawerau · Edgecumbe · Murupara · Ōpōtiki.

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How we build AI recruiting for a Whakatāne team.

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

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The outcome for Whakatāne teams

If we build the right slice first, Whakatāne teams feel the difference inside the first month. 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

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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 Kiwi Dynamics, that drops to about 52.

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

Questions

FAQ

What's the realistic timeline for AI recruiting with a Whakatāne?

Most Whakatāne businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".

Is AI recruiting worth it for a smaller Whakatāne?

Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

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 happens if we want to swap a vendor out later?

AI recruiting is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, Vapi, Workable, SEEK API, Vercel are our defaults, but the build is intentionally portable.

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.