Palmerston 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.
AI document processing that lives in your stack, not on a vendor's roadmap. Shipped from Northern Territory.
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
What we keep seeing in Palmerston.
- Palmerston is Darwin's fast-growing satellite city, with defence, construction and home services driving most of the local work.
- Residential growth, defence households, trades and retail serving one of the youngest populations in the country. Volume and after-hours demand are the recurring pinch points.
We work with teams across Palmerston: Palmerston CBD · Rosebery · Zuccoli · Durack · Humpty Doo.
Talk to us about this →How we build AI document processing for a Palmerston team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Palmerston business, so value lands before the build is finished. AI for paperwork.
Talk to usThe outcome for Palmerston teams
What changes for Palmerston 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.
FAQ
How fast could we have AI document processing in production?
Eight to ten weeks for most Palmerston businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Palmerston businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
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 if our Palmerston doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI document processing specifically, we typically run that work on Claude Vision, AWS Textract, Mistral OCR, Vercel and assume messy starting conditions from day one.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.