AI recruiting in Whanganui.
AI recruiting designed around the way a Whanganui team actually runs.
What this is
AI candidate screening
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.
Time-to-shortlist drops from 3 weeks to 4 days.
How it helps your Whanganui team
What you actually get.
- Drafts compliant NZ job ads with realistic salary bands
- Screens CVs and ranks by fit with written rationale
- Voice AI runs first-round phone screens 24/7
- Bias checks built in – flagged in the audit log
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.
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.
Our field notes from Whanganui builds.
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 in
What we build
AI recruiting, tailored to Whanganui businesses.
- 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
Common questions
Before you book the call.
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.
Back to the form ↑