AI document processing in Wānaka.
AI document processing designed around the way a Wānaka team actually runs.
What this is
AI for paperwork
Scanned invoices, signed contracts, handwritten timesheets, PDF specs – extracted into clean data and routed where they belong. No more typing what someone already wrote.
Cuts data-entry labour by 80% on invoices, POs, and timesheets.
How it helps your Wānaka team
What you actually get.
- Vision models read scans, photos, and handwriting
- Pushes structured data into Xero, your CRM, or sheets
- Confidence flags route low-certainty docs to a human
- Handles te reo, bilingual forms, and old NZ templates
The reason we take on work in Wānaka is that the businesses here tend to be sharper about what they want than the brief lets on. AI document processing for a Wānaka team almost always ends up looking different to AI document processing for a downtown Auckland one.
We'd call the engagement a success when Wānaka teams are using the system without thinking about us. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
What Wānaka teams tell us when they get on a call.
Tourism, hospitality, lifestyle property, and trades feeding constant builds. AI shines when it lets a small operator look like a big one.
We work with teams in
What we build
AI document processing, tailored to Wānaka businesses.
- 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
Common questions
Before you book the call.
How quickly can we see something running? +
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI document processing worth it for a smaller Wānaka? +
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.
What's the realistic outcome for Wānaka businesses? +
Cuts data-entry labour by 80% on invoices, POs, and timesheets. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What tools do you build AI document processing on? +
For AI document processing we usually reach for Claude Vision, AWS Textract, Mistral OCR, Vercel. We're tool-agnostic at heart – we pick what your Wānaka team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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