Taranaki · Applied AI

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

The reason we take on work in New Plymouth is that the businesses here tend to be sharper about what they want than the brief lets on. AI data analytics for a New Plymouth team almost always ends up looking different to AI data analytics for a downtown Auckland one.

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

Taranaki

Our field notes from New Plymouth builds.

  • Taranaki runs on energy, dairy, and engineering – industries with sharp safety, compliance, and uptime stakes that suit AI well.
  • From offshore work to dairy processors to a strong local trades sector, New Plymouth teams want AI that earns its keep on the gnarly stuff.

We work with teams across New Plymouth: CBD · Bell Block · Waitara · Inglewood · Oakura · Hawera.

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How we build AI data analytics for a New Plymouth team.

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

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The outcome for New Plymouth teams

We'd call the engagement a success when New Plymouth teams are using the system without thinking about us. 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

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

Most New Plymouth 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".

Is AI data analytics worth it for a smaller New Plymouth?

Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

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 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.

Twenty minutes, your call.

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

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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.