Built and supported here - the way a Murray Bridge business would actually use it.

We've worked with enough operators in Murray Bridge 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

Where Murray Bridge operators actually lose hours.

  • Murray Bridge is food processing and agriculture on the Murray, an hour from Adelaide and serving both.
  • Meat processing, dairy, irrigated agriculture and transport. Food-safety compliance and shift-based workforce administration are the heaviest recurring loads.

We work with teams across Murray Bridge: Murray Bridge CBD · Murray Bridge South · Mannum · Tailem Bend · Callington.

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How we build AI data analytics for a Murray Bridge team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Murray Bridge business, so value lands before the build is finished. Ask your data in English.

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The outcome for Murray Bridge teams

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

When does AI data analytics 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 Murray Bridge - so the savings start landing before the rest of the build is finished.

How do you price AI data analytics 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 Murray Bridge businesses are surprised how small the first cheque is.

Do you have proof this works for Murray Bridge 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.

Will this run on our own infrastructure?

Yes, where it makes sense. AI data analytics can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK but the architecture supports your existing platform choices.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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