Nelson-Tasman · Applied AI

AI data analytics designed around the way a Nelson team actually runs.

Nelson 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.

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

Nelson-Tasman

The pattern across Nelson engagements we've shipped.

  • Nelson is creative, outdoorsy, and full of clever small businesses – AI here is about giving owner-operators their evenings back.
  • Aquaculture, hops, tourism, and a deep creative sector. Nelson teams want tools that fit a smaller crew without enterprise overhead.

We work with teams across Nelson: CBD · Stoke · Tahunanui · Richmond · Motueka · Brightwater.

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How we build AI data analytics for a Nelson team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Nelson business, so value lands before the build is finished. Ask your data in English.

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The outcome for Nelson teams

The shape of the result for Nelson 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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

What's the realistic timeline for AI data analytics with a Nelson?

Most Nelson 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 Nelson?

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.

What's the realistic outcome for Nelson 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.

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.

Sketch this with us.

We'll map your real workflow before quoting anything.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.