Most of our Ashburton engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI personalisation is then designed against the detail, not the shape.
Canterbury · Applied AI
For Ashburton operators who want a working pilot in weeks, not a year-long programme.
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
Without Kiwi Dynamics
With Kiwi Dynamics
Canterbury
The Ashburton context, plainly.
- Mid-Canterbury runs on irrigated dairy, arable, and a tight industrial sector – AI here is about turning paddock data into operational decisions.
- Dairy, arable, and a strong engineering base supporting irrigation and processing. AI lands well when it makes long days shorter.
We work with teams across Ashburton: Ashburton CBD · Hampstead · Methven · Rakaia · Tinwald.
Talk to us about this →
How we build AI personalisation for a Ashburton team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Ashburton business, so value lands before the build is finished. AI personalised CX.
Talk to usThe outcome for Ashburton teams
We'd call the engagement a success when Ashburton 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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 Ashburton – 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 Ashburton businesses are surprised how small the first cheque is.
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.
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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
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.