Nelson 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 document processing template would catch.
Nelson-Tasman · Applied AI
AI document processing designed around the way a Nelson team actually runs.
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
Nelson-Tasman
What Nelson teams tell us when they get on a call.
- Nelson is creative, outdoorsy, and full of clever small businesses – AI here is about giving owner-operators their evenings back.
- Aquaculture, hops, tourism, and a deep creative sector. Nelson teams want tools that fit a smaller crew without enterprise overhead.
We work with teams across Nelson: CBD · Stoke · Tahunanui · Richmond · Motueka · Brightwater.
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How we build AI document processing for a Nelson team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Nelson business, so value lands before the build is finished. AI for paperwork.
Talk to usThe outcome for Nelson teams
If we build the right slice first, Nelson teams feel the difference inside the first month. 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 the realistic timeline for AI document processing with a Nelson?
Most Nelson businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
Is AI document processing worth it for a smaller Nelson?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
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.
What happens if we want to swap a vendor out later?
AI document processing is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude Vision, AWS Textract, Mistral OCR, Vercel are our defaults, but the build is intentionally portable.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.