Most of our Traralgon engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI data analytics is then designed against the detail, not the shape.
For Traralgon operators who want a working pilot in weeks, not a year-long programme.
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
Without Koala Dynamics
With Koala Dynamics
What's different about doing this work in Traralgon.
- Traralgon and the Latrobe Valley are mid-transition, moving from coal generation into renewables, and the local services sector is retooling with it.
- Power generation, forestry, paper and a growing renewables and transition workforce. Businesses here are re-skilling and re-tendering at the same time, so proposal and compliance work has jumped sharply.
We work with teams across Traralgon: Traralgon CBD · Morwell · Churchill · Moe · Traralgon East.
Talk to us about this →
How we build AI data analytics for a Traralgon team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Traralgon business, so value lands before the build is finished. Ask your data in English.
Talk to usThe outcome for Traralgon teams
If we build the right slice first, Traralgon 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
What's a typical engagement length for Traralgon 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.
Anyone else in this space using AI data analytics?
Plenty. Owners check the business in 2 minutes instead of 2 hours. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the 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.
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.