AI data analytics in Masterton.
AI data analytics designed around the way a Masterton team actually runs.
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 Masterton 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 Masterton is that the businesses here tend to be sharper about what they want than the brief lets on. AI data analytics for a Masterton team almost always ends up looking different to AI data analytics for a downtown Auckland one.
If we build the right slice first, Masterton teams feel the difference inside the first month. Owners check the business in 2 minutes instead of 2 hours.
Our field notes from Masterton builds.
Sheep and beef, viticulture, and a tourism flow from Wellington commuters. AI tools that respect rural broadband budgets land best.
We work with teams in
What we build
AI data analytics, tailored to Masterton 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".
What's the smallest engagement you'd take on? +
A two-week paid discovery for Masterton businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
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.
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 Masterton team can actually run after we hand the build over, not what looks good on a vendor sticker.