AI data analytics in Taupō.
AI data analytics that lives in your stack, not on a vendor's roadmap. Shipped from Waikato.
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 Taupō 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
Taupō sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI data analytics template would catch.
Owners check the business in 2 minutes instead of 2 hours. For Taupō teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
What Taupō teams tell us when they get on a call.
Hospitality, accommodation, adventure tourism, and trades supporting a building boom. AI helps the small-team operators look big.
We work with teams in
What we build
AI data analytics, tailored to Taupō 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.
What's the realistic timeline for AI data analytics with a Taupō? +
Most Taupō businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
What does AI data analytics cost for a Taupō? +
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.
Do you have proof this works for Taupō businesses? +
Direct case study: Owners check the business in 2 minutes instead of 2 hours. Happy to walk you through full numbers on a call.
What happens if we want to swap a vendor out later? +
AI data analytics is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK are our defaults, but the build is intentionally portable.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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