AI data analytics in Invercargill.

Built and supported here - the way an Invercargill business would actually use it.

How it works in Invercargill

We find the one workflow costing Invercargill businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

From Tiwai Point to the dairy sheds, Southland businesses run lean crews. We automate rosters, reporting and invoicing so fewer hours go to the office.

An AI agency, minus the theatre.

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.

Invercargill, up close.

Southland's economy rests on agriculture and processing, and the New Zealand Aluminium Smelter at Tiwai Point, across the harbour from Bluff, is the country's only aluminium smelter.

Tiwai Point has secured its energy supply to at least 2044. Most New Zealand dairy herds calve in spring, July to September.

On the tools or running at scale, the admin still eats the week :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

What AI data analytics actually do

Stop digging through dashboards. With the right workflow automated, nine hours of admin a week could drop to about one.*

*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.

Small team.
Real systems.
Zero fluff.

What AI data analytics covers

What changes for Invercargill teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided.

  • Natural-language queries over your Xero, Shopify, CRM data
  • Weekly auto-summaries delivered to inbox or Slack
  • Anomaly detection - flags weird weeks before you notice
  • Forecasts that explain themselves, not black boxes
  • No AI theatre
  • No shelfware or licences you do not use

Good questions, answered

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Can you work with our existing systems?

Yes. The default AI data analytics stack we reach for is DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

What's a typical engagement length for Invercargill businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Can you work to the NZISM?

The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.

Can it remind us about the annual return?

Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.

Talk to us about AI data analytics

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