AI data analytics in Cromwell.
AI data analytics that lives in your stack, not on a vendor's roadmap. Shipped from Central Otago.
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 Cromwell 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
Cromwell businesses don't need another generic AI pitch. AI data analytics only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Central Otago.
The shape of the result for Cromwell 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.
What Cromwell teams tell us when they get on a call.
Vineyards, cherry and stone-fruit orchards, and accommodation serving year-round tourist flows. AI tools that handle seasonal staffing earn keep fast.
We work with teams in
What we build
AI data analytics, tailored to Cromwell 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 fast could we have AI data analytics in production? +
Eight to ten weeks for most Cromwell 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's the smallest engagement you'd take on? +
A two-week paid discovery for Cromwell 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.
Can you walk us through a comparable build? +
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Owners check the business in 2 minutes instead of 2 hours.
What if our Cromwell 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 reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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