Mount Gambier sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI personalisation template would catch.
AI personalisation that lives in your stack, not on a vendor's roadmap. Shipped from South Australia.
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 Mount Gambier teams tell us when they get on a call.
- Mount Gambier is timber country - plantation forestry and processing, with dairy and Coonawarra wine around it.
- Softwood plantations, sawmilling, dairy and a well-known wine region on the doorstep. Forestry and processing clients bring heavy safety and chain-of-custody documentation.
We work with teams across Mount Gambier: Mount Gambier CBD · Suttontown · Worrolong · Millicent · Penola.
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How we build AI personalisation for a Mount Gambier team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Mount Gambier business, so value lands before the build is finished. AI personalised CX.
Talk to usThe outcome for Mount Gambier teams
The shape of the result for Mount Gambier teams: Conversion lift of 18-32% over generic site experiences. Built on Claude, hardened with the rest of the stack as it scales.
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 Mount Gambier 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 Mount Gambier team can actually run after we hand the build over, not what looks good on a vendor sticker.
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.