AI document processing in Whanganui.

AI for paperwork, built for businesses operating in Whanganui.

AI document processing for a Whanganui operator

Twenty minutes. We listen, ask sharp questions, and tell you honestly whether what you're picturing is worth building.

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 Whanganui 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 version of AI document processing that works for a Whanganui business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.

The shape of the result for Whanganui teams: Cuts data-entry labour by 80% on invoices, POs, and timesheets. Built on Claude Vision, hardened with the rest of the stack as it scales.

Why Whanganui businesses are a fit for this.

Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.

We work with teams in

Whanganui CBDCastlecliffAramohoMartonBulls

What we build

AI document processing, tailored to Whanganui businesses.

Built on: Claude VisionAWS TextractMistral OCRVercel

Common questions

Before you book the call.

What's a typical engagement length for Whanganui 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.

Do you do hourly billing or fixed price? +

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

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.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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