AI data analytics in Wānaka.
Ask your data in English – wired into a Wānaka workflow, not bolted on the side.
What this is
Ask your data in English
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.
Owners check the business in 2 minutes instead of 2 hours.
How it helps your Wānaka team
What you actually get.
- Natural-language queries over your Xero, Shopify, CRM data
- Weekly auto-summaries delivered to inbox or Slack
- Anomaly detection – flags weird weeks before you notice
- Forecasts that explain themselves, not black boxes
The reason we take on work in Wānaka is that the businesses here tend to be sharper about what they want than the brief lets on. AI data analytics for a Wānaka team almost always ends up looking different to AI data analytics for a downtown Auckland one.
The shape of the result for Wānaka 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.
The pattern across Wānaka engagements we've shipped.
Tourism, hospitality, lifestyle property, and trades feeding constant builds. AI shines when it lets a small operator look like a big one.
We work with teams in
What we build
AI data analytics, tailored to Wānaka businesses.
- 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
Common questions
Before you book the call.
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".
Is AI data analytics worth it for a smaller Wānaka? +
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.
What's the realistic outcome for Wānaka 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 Wānaka team can actually run after we hand the build over, not what looks good on a vendor sticker.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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