Palmerston 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 Northern Territory.
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 we keep seeing in Palmerston.
- Palmerston is Darwin's fast-growing satellite city, with defence, construction and home services driving most of the local work.
- Residential growth, defence households, trades and retail serving one of the youngest populations in the country. Volume and after-hours demand are the recurring pinch points.
We work with teams across Palmerston: Palmerston CBD · Rosebery · Zuccoli · Durack · Humpty Doo.
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How we build AI personalisation for a Palmerston team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Palmerston business, so value lands before the build is finished. AI personalised CX.
Talk to usThe outcome for Palmerston teams
The shape of the result for Palmerston 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
What's the realistic timeline for AI personalisation with a Palmerston?
Most Palmerston 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".
Is AI personalisation worth it for a smaller Palmerston?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Do you have proof this works for Palmerston businesses?
Direct case study: Conversion lift of 18-32% over generic site experiences. Happy to walk you through full numbers on a call.
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.
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.