Otago · Applied AI

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

Oamaru 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

Otago

Our field notes from Oamaru builds.

  • North Otago blends historic tourism with strong primary industry – AI here is about doing more with the team you can keep.
  • Dairy, horticulture, heritage tourism, and a steady local trades sector. AI tools land well when they're practical and quiet.

We work with teams across Oamaru: Oamaru CBD · Weston · Waitaki · Kurow · Hampden.

Talk to us about this →

How we build AI data analytics for a Oamaru team.

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

Talk to us

The outcome for Oamaru teams

If we build the right slice first, Oamaru 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

Start a conversation

*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.

Try the calculator

*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 Oamaru?

Most Oamaru 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 Oamaru?

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.

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.