Most of our Eugene engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI recruiting is then designed against the detail, not the shape.
For Eugene operators who want a working pilot in weeks, not a year-long programme.
Our goal is to give Eugene businesses a three-day weekend, so people can spend more time with their families and the people they love :)
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
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI recruiting runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Eugene businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI recruiting compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
The Eugene context, plainly.
- Eugene runs on higher education, timber and a growing outdoor gear and sportswear industry - AI here means fitting a market that values craft over hype.
- A major public university, a timber and forest-products industry with deep roots, and a footwear and sportswear cluster that grew up around it. Eugene businesses want AI that's genuinely well-built, not just well-marketed.
We work with teams across Eugene: Downtown Eugene · Whiteaker · Springfield · South Eugene · River Road · Santa Clara.
Talk to us about this →
How we build AI recruiting for an Eugene team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Eugene business, so value lands before the build is finished. AI candidate screening.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Eugene businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Eugene teams
Time-to-shortlist drops from 3 weeks to 4 days. For Eugene teams, 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How long does AI recruiting take to ship for Eugene businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real Eugene businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
What's the realistic outcome for Eugene 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.
Who owns the code and the model setup?
You do, on delivery. We deploy AI recruiting into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.