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

We've worked with enough operators in Whyalla 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 data analytics project is sit with your team for a day before we propose anything.

What AI data analytics actually does

Stop digging through dashboards. Ask plain-English questions of your sales, jobs, and customer data - get charts, summaries, and the why behind the numbers in seconds.

  • 01 Natural-language queries over your Xero, Shopify, CRM data
  • 02 Weekly auto-summaries delivered to inbox or Slack
  • 03 Anomaly detection - flags weird weeks before you notice
  • 04 Forecasts that explain themselves, not black boxes

Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK

The Whyalla context, plainly.

  • 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 data analytics 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. Ask your data in English.

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The outcome for Whyalla teams

What changes for Whyalla teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Owners check the business in 2 minutes instead of 2 hours.

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 a typical engagement length for Whyalla businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Do you have proof this works for Whyalla businesses?

Direct case study: Owners check the business in 2 minutes instead of 2 hours. Happy to walk you through full numbers on a call.

Can you work with our existing systems?

Yes. The default AI data analytics stack we reach for is DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

The honest version of a sales call.

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

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