We've worked with enough operators in Wānaka to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI staff training project is sit with your team for a day before we propose anything.
For Wānaka operators who want a working pilot in weeks, not a year-long programme.
Our goal is to give Wānaka businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI staff training actually does
Turn your senior team's brain into interactive training. AI-generated lessons, practice scenarios, and on-the-job coaching that scales without burning out your best people.
- 01 Auto-generates training modules from your SOPs
- 02 Voice-based roleplay scenarios for sales and service teams
- 03 Tracks competency and flags refresher needs
- 04 Works offline on site or in the truck
Built on: Claude ElevenLabs Vercel AI SDK Mux Postgres
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 staff training 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 Wānaka 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 staff training 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 |
What's different about doing this work in Wānaka.
- Wānaka has the boom-and-shoulder rhythm of a lifestyle town - AI here helps small teams handle big seasonal swings without burning out.
- Tourism, hospitality, lifestyle property, and trades feeding constant builds. AI shines when it lets a small operator look like a big one.
We work with teams across Wānaka: Wānaka township · Albert Town · Hāwea · Cardrona · Lake Hāwea.
Talk to us about this →
How we build AI staff training for a Wānaka team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Wānaka business, so value lands before the build is finished. AI training tools.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Wānaka 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 Wānaka teams
What changes for Wānaka 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. New-hire ramp-up cut from 12 weeks to 5 - measurable competency, not just attendance.
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
When does AI staff training actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Wānaka - so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Has this actually shipped for a real Wānaka?
Yes. New-hire ramp-up cut from 12 weeks to 5 - measurable competency, not just attendance. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI staff training can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, ElevenLabs, Vercel AI SDK, Mux, Postgres but the architecture supports your existing platform choices.
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.