The reason we take on work in Bathurst is that the businesses here tend to be sharper about what they want than the brief lets on. AI data analytics for a Bathurst team almost always ends up looking different to AI data analytics for a downtown Auckland one.
Ask your data in English - wired into a Bathurst workflow, not bolted on the side.
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 we keep seeing in Bathurst.
- Bathurst pairs a university and a manufacturing base with a motorsport calendar that turns the whole city over twice a year.
- Charles Sturt University, light manufacturing, agriculture and the Mount Panorama events economy. Businesses plan a normal year around two enormous demand spikes, which is a scheduling problem before it is a marketing one.
We work with teams across Bathurst: Bathurst CBD · Kelso · West Bathurst · Eglinton · Mount Panorama.
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How we build AI data analytics for a Bathurst team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Bathurst business, so value lands before the build is finished. Ask your data in English.
Talk to usThe outcome for Bathurst teams
What changes for Bathurst teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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 fast could we have AI data analytics in production?
Eight to ten weeks for most Bathurst businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What does AI data analytics cost for a Bathurst?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
What's the realistic outcome for Bathurst 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 if our Bathurst doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI data analytics specifically, we typically run that work on DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK and assume messy starting conditions from day one.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.