AI recruiting designed around the way a Denver team actually runs.

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

Denver 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.

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

What we keep seeing in Denver.

  • Denver runs on a fast-growing tech and services economy layered on top of energy and outdoor recreation industries - AI here means keeping pace with one of the country's fastest-growing business populations.
  • A growing tech and startup scene, an energy sector rooted in the Rockies, and a booming outdoor recreation and hospitality economy. Denver businesses want AI that scales as fast as the city's population has.

We work with teams across Denver: Downtown Denver · LoDo · Cherry Creek · Boulder · Aurora · Lakewood.

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How we build AI recruiting for a Denver team.

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

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How the work runs

The outcome for Denver teams

The shape of the result for Denver 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

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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.

Try the calculator

*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 Denver?

Most Denver 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".

What does AI recruiting cost for a Denver?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

What's the realistic outcome for Denver businesses?

Time-to-shortlist drops from 3 weeks to 4 days. We don't promise tenfold lifts because we don't see them outside of marketing decks.

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.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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.