Whanganui 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.
Manawatū-Whanganui · Applied AI
AI recruiting designed around the way a Whanganui team actually runs.
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 Kiwi Dynamics
With Kiwi Dynamics
Manawatū-Whanganui
Our field notes from Whanganui builds.
- Whanganui blends creative scene, river-led tourism, and steady local trades – AI here helps small operators run lighter and reach further.
- Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.
We work with teams across Whanganui: Whanganui CBD · Castlecliff · Aramoho · Marton · Bulls.
Talk to us about this →
How we build AI recruiting for a Whanganui team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whanganui business, so value lands before the build is finished. AI candidate screening.
Talk to usThe outcome for Whanganui teams
The shape of the result for Whanganui 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have AI recruiting in production?
Eight to ten weeks for most Whanganui 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 Whanganui 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.
Has this actually shipped for a real Whanganui?
Yes. Time-to-shortlist drops from 3 weeks to 4 days. We'll share comparable engagements on the call.
What if our Whanganui 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.
Get in touch
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.