Albany businesses don't need another generic AI pitch. AI personalisation only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Western Australia.
AI personalisation designed around the way a Albany team actually runs.
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
Our field notes from Albany builds.
- Albany combines Great Southern agriculture, a working port and a serious tourism season on the south coast.
- Grain and livestock, a woodchip and grain port, fishing and a heritage tourism draw. Farm clients and tourism operators need very different service, and local firms usually carry both.
We work with teams across Albany: Albany CBD · Middleton Beach · Spencer Park · McKail · Denmark.
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How we build AI personalisation for a Albany team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Albany business, so value lands before the build is finished. AI personalised CX.
Talk to usThe outcome for Albany teams
We'd call the engagement a success when Albany 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.
FAQ
How fast could we have AI personalisation in production?
Eight to ten weeks for most Albany 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's the smallest engagement you'd take on?
A two-week paid discovery for Albany 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.
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.
What if our Albany 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.