Devonport 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 for paperwork - wired into a Devonport workflow, not bolted on the side.
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 Koala Dynamics
With Koala Dynamics
The pattern across Devonport engagements we've shipped.
- Devonport is the freight gateway to Tasmania, where the Spirit of Tasmania sets the clock for a lot of local business.
- Ferry freight, agriculture, vegetable processing and logistics on the north west coast. Timetable-driven dispatch and customer updates are constant and still largely manual.
We work with teams across Devonport: Devonport CBD · East Devonport · Latrobe · Spreyton · Ulverstone.
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How we build AI document processing for a Devonport team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Devonport business, so value lands before the build is finished. AI for paperwork.
Talk to usThe outcome for Devonport teams
We'd call the engagement a success when Devonport teams are using the system without thinking about us. 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 Devonport 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 Devonport 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.
Has this actually shipped for a real Devonport?
Yes. Cuts data-entry labour by 80% on invoices, POs, and timesheets. We'll share comparable engagements on the call.
What if our Devonport 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.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.