AI data analytics in Kerikeri.
For Kerikeri operators who want a working pilot in weeks, not a year-long programme.
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.
New kiwifruit orchards keep going in around Kerikeri, and every hectare adds rosters, compliance records and invoices. We build AI that keeps the paperwork in step.
Small crew or big organisation, the busywork is the same :)
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.
Kerikeri, up close.
Kerikeri-Waipapa is the largest and fastest growing centre in the Far North, with a strong horticulture industry, and kiwifruit is Northland's largest and most valuable crop.
Kerikeri-Waipapa accounts for 26 per cent of all regional employment in horticulture. Kiwifruit picking and packhouse work run from about March to mid-June.
Owners check the business in 2 minutes instead of 2 hours. For Kerikeri teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart. Kiwi Dynamics
How much is the admin really costing 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.
Straight answers
What's a typical engagement length for Kerikeri 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 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.
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.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
Do you respond to government tenders?
Most large government contracts are advertised on GETS, the Government Electronic Tender Service, where suppliers register with RealMe.
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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