Logan businesses don't need another generic AI pitch. AI data analytics only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Queensland.
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
Our field notes from Logan builds.
- Logan is trades, logistics and light manufacturing between Brisbane and the Gold Coast, with one of the most diverse populations in the country.
- A dense band of transport, warehousing, manufacturing and home services businesses serving two capitals at once. Multilingual customer contact and after-hours enquiries are both bigger factors here than the numbers suggest.
We work with teams across Logan: Logan Central · Springwood · Beenleigh · Browns Plains · Meadowbrook.
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How we build AI data analytics for a Logan team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Logan business, so value lands before the build is finished. Ask your data in English.
Talk to usThe outcome for Logan teams
We'd call the engagement a success when Logan teams are using the system without thinking about us. 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
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for Logan 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.
What's the realistic outcome for Logan businesses?
Owners check the business in 2 minutes instead of 2 hours. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What tools do you build AI data analytics on?
For AI data analytics we usually reach for DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK. We're tool-agnostic at heart - we pick what your Logan team can actually run after we hand the build over, not what looks good on a vendor sticker.
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.