Bay of Plenty · Applied AI

AI customer support – wired into a Whakatāne workflow, not bolted on the side.

Whakatāne businesses don't need another generic AI pitch. AI chatbots only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Bay of Plenty.

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

Bay of Plenty

What we keep seeing in Whakatāne.

  • Eastern Bay of Plenty runs on horticulture, aquaculture, and Māori-led enterprise – AI here works when it respects relationships first.
  • Kiwifruit, aquaculture, marine tourism, and a strong iwi economy. AI tools that work offline and bilingually find their home here.

We work with teams across Whakatāne: Whakatāne · Ōhope · Kawerau · Edgecumbe · Murupara · Ōpōtiki.

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How we build AI chatbots for a Whakatāne team.

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

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The outcome for Whakatāne teams

What changes for Whakatāne 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. Handles 60-70% of routine enquiries without human input.

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.

Questions

FAQ

How fast could we have AI chatbots in production?

Eight to ten weeks for most Whakatāne businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What's the smallest engagement you'd take on?

A two-week paid discovery for Whakatāne businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Do you have proof this works for Whakatāne businesses?

Direct case study: Handles 60-70% of routine enquiries without human input. Happy to walk you through full numbers on a call.

What if our Whakatāne doesn't have any data ready?

Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI chatbots specifically, we typically run that work on Claude, OpenAI, Custom RAG pipelines and assume messy starting conditions from day one.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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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.