AI customer support - wired into a Whyalla workflow, not bolted on the side.

Whyalla 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 chatbots template would catch.

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

Our field notes from Whyalla builds.

  • Whyalla is a steel town rebuilding around green hydrogen and renewables, and its supplier base is retendering for work it has never done before.
  • Steelworks, iron ore, and a large green energy transition pipeline. Local contractors are writing proposals for new industries, which has sharply increased the documentation load.

We work with teams across Whyalla: Whyalla Norrie · Whyalla Stuart · Whyalla Playford · Whyalla Jenkins.

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How we build AI chatbots for a Whyalla team.

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

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The outcome for Whyalla teams

If we build the right slice first, Whyalla teams feel the difference inside the first month. Handles 60-70% of routine enquiries without human input.

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

How fast could we have AI chatbots in production?

Eight to ten weeks for most Whyalla 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 Whyalla 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.

Has this actually shipped for a real Whyalla?

Yes. Handles 60-70% of routine enquiries without human input. We'll share comparable engagements on the call.

What if our Whyalla 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.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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