AI data analytics in Wānaka.
Ask your data in English - wired into a Wānaka workflow, not bolted on the side.
Wānaka businesses gear up for ski season from June, then summer visitors. We automate rostering, bookings and guest messages so small teams handle big weeks.
What AI data analytics actually do
Stop digging through dashboards. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
Small team.
Real systems.
Zero fluff.
What you get
The shape of the result for Wānaka teams: Owners check the business in 2 minutes instead of 2 hours.
- 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
- No shelfware or licences you do not use
- No AI theatre
From one-person trades to national organisations, we find the hours :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
What Wānaka runs on.
Wānaka's visitor economy centres on its lakes, mountains and ski areas, Cardrona, Treble Cone and Snow Farm, which operate from June to October.
Lake Wanaka Tourism has more than 450 member businesses. Ski areas operate from June to October.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions Wānaka businesses ask
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.
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 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.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
Does scheduling handle public holidays?
It should. New Zealand has 11 national public holidays, including Matariki, plus a regional anniversary day that depends on where your business is.
Talk to us about AI data analytics
StartContact us
Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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