For Brisbane operators who want a working pilot in weeks, not a year-long programme.

Our goal is to give Brisbane businesses a three-day weekend, so people can spend more time with their families and the people they love :)

We've worked with enough operators in Brisbane to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI personalisation project is sit with your team for a day before we propose anything.

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 you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI personalisation compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKoala Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

What's different about doing this work in Brisbane.

  • Brisbane is in the middle of an infrastructure and population boom running through to the 2032 Olympics - AI here is about keeping growing businesses from drowning in their own admin.
  • Construction, property and a fast-growing professional services base are all hiring faster than they can train people. Brisbane teams need automation that lets a smaller back office keep pace with a bigger front line.

We work with teams across Brisbane: CBD · Fortitude Valley · South Bank · Chermside · Ipswich · Springfield.

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How we build AI personalisation for a Brisbane team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Brisbane business, so value lands before the build is finished. AI personalised CX.

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How the work runs

The outcome for Brisbane teams

Conversion lift of 18-32% over generic site experiences. For Brisbane teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

When does AI personalisation actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Brisbane - so the savings start landing before the rest of the build is finished.

How do you price AI personalisation engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Brisbane businesses are surprised how small the first cheque is.

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.

Will this run on our own infrastructure?

Yes, where it makes sense. AI personalisation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vercel Edge, Postgres, Klaviyo but the architecture supports your existing platform choices.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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.