AI chatbots that fits a cafe or restaurant's week, not the other way around.

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

AI chatbots is overhyped at the macro level and underused at the workflow level. For a NZ cafe or restaurant, that gap is where the actual ROI lives - and where most of our work happens.

What AI chatbots actually does

Trained on your business, not Wikipedia. AI assistants that answer pricing, hours, availability, bookings - and escalate cleanly when the customer needs a human.

  • 01 Trained on your documents, FAQs, and past tickets
  • 02 Books appointments, takes deposits, qualifies leads
  • 03 Live hand-off to a human when needed
  • 04 Daily quality reports so you stay in control

Built on: Claude OpenAI Custom RAG pipelines

What you actually get

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

How AI chatbots 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

Cafes and restaurants need software built around their week, not against it.

  • Hospitality runs on thin margins where a missed booking, a bad review left unanswered, or a slow roster costs real money.
  • Reservations, reviews, and rostering are the recurring admin that pulls owners off the floor.
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How we build AI chatbots for cafes and restaurants.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cafe or restaurant business, so value lands before the build is finished. AI customer support.

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How the work runs

The outcome for cafes and restaurants

Handles 60-70% of routine enquiries without human input. For cafes and restaurants, 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

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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

When does AI chatbots 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 cafe or restaurant - 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.

What's the realistic outcome for cafes and restaurants?

Handles 60-70% of routine enquiries without human input. We don't promise tenfold lifts because we don't see them outside of marketing decks.

Will this run on our own infrastructure?

Yes, where it makes sense. AI chatbots can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, OpenAI, Custom RAG pipelines but the architecture supports your existing platform choices.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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.