AI data analytics in Whakatāne.
For Whakatāne operators who want a working pilot in weeks, not a year-long programme.
Dairy, kiwifruit, forestry and manufacturing keep the Eastern Bay busy. We automate the rosters, supplier invoices and compliance records that pile up at harvest.
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.
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Made for New Zealand paperwork.
Ask plain questions of your accounts and operations, starting with Xero, the accounting platform founded in New Zealand in 2006.
- Xero, founded in New Zealand
- NZISM for government work
- Payday filing, every payday
Small team.
Real systems.
Zero fluff.
What you get
Owners check the business in 2 minutes instead of 2 hours.
- 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 annual contracts
- No shelfware or licences you do not use
What Whakatāne runs on.
The Rangitāiki Plains support intensive dairy farming and horticulture including kiwifruit, avocados and citrus, forestry is a major industry, and manufacturing remains a cornerstone of the district.
The Whakatāne District is widely known as one of New Zealand's food baskets. Kiwifruit picking and packhouse work run from about March to mid-June.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
Questions Whakatāne businesses ask
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's a typical engagement length for Whakatāne 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.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Can it keep track of ACC levies?
Yes. ACC work levies are set by the classification unit your work falls under, and self-employed people are invoiced after filing their tax return.
What does the Privacy Commissioner expect before we use AI?
Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.
Talk to us about AI data analytics
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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