We've worked with enough operators in Motueka to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI document processing project is sit with your team for a day before we propose anything.
Tasman · Applied AI
Built and supported here – the way a Motueka business would actually use it.
What AI document processing actually does
Scanned invoices, signed contracts, handwritten timesheets, PDF specs – extracted into clean data and routed where they belong. No more typing what someone already wrote.
- 01 Vision models read scans, photos, and handwriting
- 02 Pushes structured data into Xero, your CRM, or sheets
- 03 Confidence flags route low-certainty docs to a human
- 04 Handles te reo, bilingual forms, and old NZ templates
Built on: Claude Vision AWS Textract Mistral OCR Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
Tasman
The Motueka context, plainly.
- Motueka is hops, apples, and a steady tourism flow toward Abel Tasman – AI here helps growers and operators handle peak weeks without panic.
- Horticulture, hospitality serving Abel Tasman tourism, and a small but resilient services sector. AI tools that work for owner-operators fit.
We work with teams across Motueka: Motueka · Mapua · Tasman · Riwaka · Kaiteriteri.
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How we build AI document processing for a Motueka team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Motueka business, so value lands before the build is finished. AI for paperwork.
Talk to usThe outcome for Motueka teams
What changes for Motueka 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. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
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
What's a typical engagement length for Motueka 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.
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 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. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
Can you work with our existing systems?
Yes. The default AI document processing stack we reach for is Claude Vision, AWS Textract, Mistral OCR, Vercel, 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.
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.