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.
Central Otago · Applied AI
AI data analytics that lives in your stack, not on a vendor's roadmap. Shipped from Central Otago.
What AI data analytics actually does
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.
- 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
Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK
Without Kiwi Dynamics
With Kiwi Dynamics
Central Otago
What Cromwell teams tell us when they get on a call.
- Central Otago is wine, horticulture, and a tourism corridor that connects Wānaka and Queenstown – AI here turns short seasons into solid years.
- 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 across Cromwell: Cromwell · Bannockburn · Alexandra · Clyde · Roxburgh.
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How we build AI data analytics for a Cromwell team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Cromwell business, so value lands before the build is finished. Ask your data in English.
Talk to usThe outcome for Cromwell teams
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.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
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.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.