Auckland 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.
Auckland · Applied AI
AI data analytics that lives in your stack, not on a vendor's roadmap. Shipped from Auckland.
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
Without Kiwi Dynamics
With Kiwi Dynamics
Auckland
Our field notes from Auckland builds.
- Auckland businesses move fast and pay the highest wages in the country – AI that automates real work pays back here before anywhere else.
- From CBD professional services to West Auckland tradies and South Auckland manufacturers, the common thread is wage cost and labour scarcity. We build for that.
We work with teams across Auckland: CBD · North Shore · West Auckland · South Auckland · Manukau · Albany · Mt Eden · Newmarket.
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How we build AI data analytics for a Auckland team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Auckland business, so value lands before the build is finished. Ask your data in English.
Talk to usThe outcome for Auckland teams
If we build the right slice first, Auckland 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have AI data analytics in production?
Eight to ten weeks for most Auckland businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Auckland 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 if our Auckland doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI data analytics specifically, we typically run that work on DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.