AI document processing in Oamaru.
AI document processing that lives in your stack, not on a vendor's roadmap. Shipped from Otago.
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 Oamaru 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
Oamaru businesses don't need another generic AI pitch. AI document processing only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Otago.
We'd call the engagement a success when Oamaru teams are using the system without thinking about us. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
What we keep seeing in Oamaru.
Dairy, horticulture, heritage tourism, and a steady local trades sector. AI tools land well when they're practical and quiet.
We work with teams in
What we build
AI document processing, tailored to Oamaru 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.
What's the realistic timeline for AI document processing with a Oamaru? +
Most Oamaru 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 Oamaru? +
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.
Anyone else in this space using AI document processing? +
Plenty. Cuts data-entry labour by 80% on invoices, POs, and timesheets. 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 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.