Waikato · Applied AI

AI personalised CX – wired into a Taupō workflow, not bolted on the side.

The reason we take on work in Taupō is that the businesses here tend to be sharper about what they want than the brief lets on. AI personalisation for a Taupō team almost always ends up looking different to AI personalisation for a downtown Auckland one.

What AI personalisation actually does

Every customer sees the right product, message, and offer – based on what they've bought, browsed, and asked. Built on first-party data, no creepy tracking required.

  • 01 Per-customer recommendations across web and email
  • 02 Dynamic landing pages tailored to traffic source
  • 03 Lifecycle messaging triggered by real behaviour
  • 04 GDPR + NZ Privacy Act compliant by default

Built on: Claude Vercel Edge Postgres Klaviyo

Waikato

Our field notes from Taupō builds.

  • Taupō is tourism, geothermal, and a fast-growing retirement and lifestyle scene – businesses here juggle seasonal staff and high expectations.
  • Hospitality, accommodation, adventure tourism, and trades supporting a building boom. AI helps the small-team operators look big.

We work with teams across Taupō: CBD · Acacia Bay · Kinloch · Turangi · Whakatane.

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How we build AI personalisation for a Taupō team.

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

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The outcome for Taupō teams

The shape of the result for Taupō teams: Conversion lift of 18-32% over generic site experiences. 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.

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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

What's the realistic timeline for AI personalisation with a Taupō?

Most Taupō 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 personalisation cost for a Taupō?

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.

Do you have proof this works for Taupō businesses?

Direct case study: Conversion lift of 18-32% over generic site experiences. Happy to walk you through full numbers on a call.

What happens if we want to swap a vendor out later?

AI personalisation 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, Vercel Edge, Postgres, Klaviyo are our defaults, but the build is intentionally portable.

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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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.