Gisborne · Applied AI

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

Gisborne businesses don't need another generic AI pitch. AI personalisation 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 Gisborne.

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

Gisborne

What Gisborne teams tell us when they get on a call.

  • Tairāwhiti runs on horticulture, forestry, and tight-knit communities – AI here is about lightening admin so people stay on the land and the boat.
  • Strong Māori economy, agriculture, and tourism shoulder peaks. AI tools that work offline and bilingually find a fast home here.

We work with teams across Gisborne: CBD · Kaiti · Mangapapa · Ruatoria · Wairoa.

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How we build AI personalisation for a Gisborne team.

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

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The outcome for Gisborne teams

We'd call the engagement a success when Gisborne teams are using the system without thinking about us. Conversion lift of 18-32% over generic site experiences.

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 Gisborne?

Most Gisborne 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 Gisborne?

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.

Can you walk us through a comparable build?

Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Conversion lift of 18-32% over generic site experiences.

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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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.