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

Our goal is to give Wollongong businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The version of AI data analytics that works for a Wollongong business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.

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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI data analytics compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKoala Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

Why Wollongong businesses are a fit for this.

  • Wollongong runs on steel, education and a growing tech and services sector an hour south of Sydney - AI here competes for attention against Sydney rates on a regional budget.
  • The Port Kembla steelworks, a major university, and a growing number of Sydney-priced professional services firms relocating for cheaper rent. Wollongong teams want AI that punches above a regional budget.

We work with teams across Wollongong: Wollongong CBD · Port Kembla · Shellharbour · Dapto · Fairy Meadow · Corrimal.

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How we build AI data analytics for a Wollongong team.

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

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How the work runs

The outcome for Wollongong teams

We'd call the engagement a success when Wollongong 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

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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.

Try the calculator

*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

How long does AI data analytics take to ship for Wollongong businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Wollongong businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

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 Wollongong businesses are surprised how small the first cheque is.

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.

Who owns the code and the model setup?

You do, on delivery. We deploy AI data analytics into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. DuckDB sits in your account too - we don't operate it from ours.

Skip the pitch.

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

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.