AI personalisation designed around the way an Adelaide team actually runs.

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

Adelaide 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.

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 Adelaide teams tell us when they get on a call.

  • Adelaide runs on defence, wine and a growing med-tech sector - AI lands well here with teams that are precise by trade and impatient with anything that wastes their time.
  • The naval shipbuilding program, a concentrated wine industry around the Barossa and McLaren Vale, and a health and biotech cluster around the CBD all reward AI that's accurate first, flashy never.

We work with teams across Adelaide: CBD · Norwood · Glenelg · Mawson Lakes · Elizabeth · Port Adelaide.

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How we build AI personalisation for an Adelaide team.

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

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How the work runs

The outcome for Adelaide teams

If we build the right slice first, Adelaide teams feel the difference inside the first month. 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

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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.

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*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

What's the realistic timeline for AI personalisation with an Adelaide?

Most Adelaide 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 Adelaide?

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.

Has this actually shipped for a real Adelaide?

Yes. Conversion lift of 18-32% over generic site experiences. We'll share comparable engagements on the 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.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.