Armidale 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 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
What Armidale teams tell us when they get on a call.
- Armidale is a university town on the New England tablelands, so its business base swings hard with the academic calendar.
- The University of New England, agriculture, health and education dominate. A large share of local demand arrives and disappears with semester dates, which makes fixed staffing expensive and automation genuinely useful.
We work with teams across Armidale: Armidale CBD · Newling · West Armidale · Uralla · Guyra.
Talk to us about this →How we build AI personalisation for a Armidale team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Armidale business, so value lands before the build is finished. AI personalised CX.
Talk to usThe outcome for Armidale teams
The shape of the result for Armidale 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 fast could we have AI personalisation in production?
Eight to ten weeks for most Armidale businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What does AI personalisation cost for a Armidale?
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.
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 if our Armidale doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI personalisation specifically, we typically run that work on Claude, Vercel Edge, Postgres, Klaviyo and assume messy starting conditions from day one.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.