Gladstone 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 data analytics template would catch.
AI data analytics that lives in your stack, not on a vendor's roadmap. Shipped from Queensland.
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
The pattern across Gladstone engagements we've shipped.
- Gladstone is heavy industry - LNG, alumina and one of the biggest ports in the country, which sets an industrial compliance bar every supplier has to clear.
- LNG trains, alumina refining, a major bulk port and a large industrial contracting sector. Safety documentation and supplier prequalification are the single largest admin load for local businesses.
We work with teams across Gladstone: Gladstone CBD · Calliope · Boyne Island · Tannum Sands · Clinton.
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How we build AI data analytics for a Gladstone team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Gladstone business, so value lands before the build is finished. Ask your data in English.
Talk to usThe outcome for Gladstone teams
The shape of the result for Gladstone teams: Owners check the business in 2 minutes instead of 2 hours. Built on DuckDB, 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
What's the realistic timeline for AI data analytics with a Gladstone?
Most Gladstone businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".
Is AI data analytics worth it for a smaller Gladstone?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Do you have proof this works for Gladstone 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.
What happens if we want to swap a vendor out later?
AI data analytics is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK are our defaults, but the build is intentionally portable.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.