Building companies · Applied AI

Building companies-grade AI recruiting, shipped by people who've done it before.

Every building company business we've worked with has a different definition of "broken". AI recruiting only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.

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

Sector context

Where building companies actually lose hours and dollars.

  • Builders run multiple sites at once, and the paperwork behind each one grows faster than anyone has time to manage.
  • Variations, supplier orders, and client updates are the admin layer that determines whether a build stays on schedule.
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How we build AI recruiting for building companies.

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

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The outcome for building companies

Time-to-shortlist drops from 3 weeks to 4 days. For building companies, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What's the smallest engagement you'd take on?

A two-week paid discovery for building companies 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 tools do you build AI recruiting on?

For AI recruiting we usually reach for Claude, Vapi, Workable, SEEK API, Vercel. We're tool-agnostic at heart – we pick what your building company team can actually run after we hand the build over, not what looks good on a vendor sticker.

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.