Kiwi Dynamics

Otago · Applied AI

Ask your data in English – wired into a Dunedin workflow, not bolted on the side.

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Dunedin 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 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

Otago

What we keep seeing in Dunedin.

  • Dunedin pairs a strong university research culture with practical southern businesses. AI here means proven tools, not hype.
  • Education, health, tech, and a tourism shoulder season that hits hard. AI helps Dunedin teams smooth the peaks and protect the people.

We work with teams across Dunedin: CBD · North Dunedin · South Dunedin · Mosgiel · Port Chalmers · Green Island.

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How we build AI data analytics for a Dunedin team.

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

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The outcome for Dunedin teams

If we build the right slice first, Dunedin teams feel the difference inside the first month. Owners check the business in 2 minutes instead of 2 hours.

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

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 Dunedin 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 Dunedin team can actually run after we hand the build over, not what looks good on a vendor sticker.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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