AI recruiting for HVAC companies.
HVAC companies-grade AI recruiting, shipped by people who've done it before.
Maintenance reminders, bookings and quotes with GST at 15 per cent handled automatically across your customer base.
On the tools or running at scale, the admin still eats the week :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
What AI recruiting actually does
Job ads written for SEEK, Trade Me, and LinkedIn. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
How the work runs
We find the one workflow costing HVAC companies the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Less admin.
More weekend.
No theatre.
What AI recruiting covers
Time-to-shortlist drops from 3 weeks to 4 days.
- 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
- No AI theatre
- No annual contracts
The two or three things that decide whether this works for HVAC companies.
Heating and cooling businesses run on seasonal call volume that spikes exactly when the team is already stretched.
Scheduling, callout triage, and maintenance reminders are what separate a booked-out HVAC business from a quiet one.
Good questions, answered
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 HVAC company team can actually run after we hand the build over, not what looks good on a vendor sticker.
Do you have proof this works for HVAC companies?
Direct case study: Time-to-shortlist drops from 3 weeks to 4 days. Happy to walk you through full numbers on a call.
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".
Will it work alongside Fergus or Tradify?
We build around the tools you already run instead of replacing them. Fergus and Tradify are both job management tools built in New Zealand for trades.
Is our data kept in New Zealand?
Kiwi Dynamics hosts its own infrastructure in New Zealand, under New Zealand governance. If personal information ever has to go offshore, privacy principle 12 requires comparable protection.
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