The reason we take on work in Bathurst is that the businesses here tend to be sharper about what they want than the brief lets on. AI personalisation for a Bathurst team almost always ends up looking different to AI personalisation for a downtown Auckland one.
AI personalisation that lives in your stack, not on a vendor's roadmap. Shipped from New South Wales.
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 Koala Dynamics
With Koala Dynamics
What Bathurst teams tell us when they get on a call.
- Bathurst pairs a university and a manufacturing base with a motorsport calendar that turns the whole city over twice a year.
- Charles Sturt University, light manufacturing, agriculture and the Mount Panorama events economy. Businesses plan a normal year around two enormous demand spikes, which is a scheduling problem before it is a marketing one.
We work with teams across Bathurst: Bathurst CBD · Kelso · West Bathurst · Eglinton · Mount Panorama.
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How we build AI personalisation for a Bathurst team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Bathurst business, so value lands before the build is finished. AI personalised CX.
Talk to usThe outcome for Bathurst teams
If we build the right slice first, Bathurst teams feel the difference inside the first month. 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.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for Bathurst 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.
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.
What tools do you build AI personalisation on?
For AI personalisation we usually reach for Claude, Vercel Edge, Postgres, Klaviyo. We're tool-agnostic at heart - we pick what your Bathurst team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.