Otago · Applied AI

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

The reason we take on work in Oamaru is that the businesses here tend to be sharper about what they want than the brief lets on. AI personalisation for a Oamaru 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

Otago

The pattern across Oamaru engagements we've shipped.

  • North Otago blends historic tourism with strong primary industry – AI here is about doing more with the team you can keep.
  • Dairy, horticulture, heritage tourism, and a steady local trades sector. AI tools land well when they're practical and quiet.

We work with teams across Oamaru: Oamaru CBD · Weston · Waitaki · Kurow · Hampden.

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How we build AI personalisation for a Oamaru team.

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

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The outcome for Oamaru teams

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

How fast could we have AI personalisation in production?

Eight to ten weeks for most Oamaru 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 Oamaru 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.

Has this actually shipped for a real Oamaru?

Yes. Conversion lift of 18-32% over generic site experiences. We'll share comparable engagements on the call.

What if our Oamaru 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 personalisation specifically, we typically run that work on Claude, Vercel Edge, Postgres, Klaviyo and assume messy starting conditions from day one.

Sketch this with us.

We'll map your real workflow before quoting anything.

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