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

Our goal is to give Houston businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The reason we take on work in Houston is that the businesses here tend to be sharper about what they want than the brief lets on. AI recruiting for a Houston team almost always ends up looking different to AI recruiting for a downtown Auckland one.

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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI recruiting compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The pattern across Houston engagements we've shipped.

  • Houston runs on energy, petrochemicals and one of the country's biggest medical centres - AI here means handling compliance-heavy, high-stakes work without cutting corners.
  • The energy capital of the US, a huge petrochemical complex along the Ship Channel, and the Texas Medical Center, one of the largest hospital systems in the world. Houston businesses want AI that's rigorous first, fast second.

We work with teams across Houston: Downtown · The Woodlands · Sugar Land · Katy · Energy Corridor · Midtown.

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How we build AI recruiting for a Houston team.

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

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How the work runs

The outcome for Houston teams

What changes for Houston teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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.

FAQ

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

Most Houston 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 Houston?

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.

Sketch this with us.

We'll map your real workflow before quoting anything.

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.