Kiwi Dynamics

Northland · Applied AI

Built and supported here – the way a Whangārei business would actually use it.

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The version of AI personalisation that works for a Whangārei business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.

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

Northland

The Whangārei context, plainly.

  • Northland is geographically wide and connectivity-thin – AI here means tools that work in a ute with patchy signal.
  • Agriculture, marine, tourism, and trades across a wide region. AI lands when it works offline and respects the kilometres between sites.

We work with teams across Whangārei: CBD · Onerahi · Kamo · Tikipunga · Kerikeri · Dargaville.

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How we build AI personalisation for a Whangārei team.

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

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The outcome for Whangārei teams

Conversion lift of 18-32% over generic site experiences. For Whangārei 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

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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

When does AI personalisation 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 Whangārei – so the savings start landing before the rest of the build is finished.

How do you price AI personalisation engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Whangārei businesses are surprised how small the first cheque is.

Anyone else in this space using AI personalisation?

Plenty. Conversion lift of 18-32% over generic site experiences. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.

Will this run on our own infrastructure?

Yes, where it makes sense. AI personalisation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vercel Edge, Postgres, Klaviyo but the architecture supports your existing platform choices.

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