AI chatbots that lives in your stack, not on a vendor's roadmap. Shipped from Australian Capital Territory.

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

Canberra businesses don't need another generic AI pitch. AI chatbots 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 Australian Capital Territory.

What AI chatbots actually does

Trained on your business, not Wikipedia. AI assistants that answer pricing, hours, availability, bookings - and escalate cleanly when the customer needs a human.

  • 01 Trained on your documents, FAQs, and past tickets
  • 02 Books appointments, takes deposits, qualifies leads
  • 03 Live hand-off to a human when needed
  • 04 Daily quality reports so you stay in control

Built on: Claude OpenAI Custom RAG pipelines

What you actually get

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

How AI chatbots 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

Our field notes from Canberra builds.

  • Canberra runs on government, policy and the contractors that service them - AI here has to handle process and compliance as carefully as it handles speed.
  • Federal departments and the consultancies orbiting them generate huge volumes of documents, submissions and reporting. Canberra teams want AI that speeds up drafting and research without ever guessing on something that needs a citation.

We work with teams across Canberra: Civic · Belconnen · Woden · Gungahlin · Tuggeranong · Barton.

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How we build AI chatbots for a Canberra team.

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

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How the work runs

The outcome for Canberra teams

The shape of the result for Canberra teams: Handles 60-70% of routine enquiries without human input. 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

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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

How fast could we have AI chatbots in production?

Eight to ten weeks for most Canberra 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 Canberra 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.

Do you have proof this works for Canberra businesses?

Direct case study: Handles 60-70% of routine enquiries without human input. Happy to walk you through full numbers on a call.

What if our Canberra 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 chatbots specifically, we typically run that work on Claude, OpenAI, Custom RAG pipelines and assume messy starting conditions from day one.

Sketch this with us.

We'll map your real workflow before quoting anything.

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.