Bunbury 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 Western Australia.
AI for paperwork - wired into a Bunbury 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 Bunbury engagements we've shipped.
- Bunbury is WA's second city - a working port with alumina, mineral sands and agriculture behind it.
- Port operations, alumina refining, mineral sands, dairy and a growing services sector. Industrial clients bring prequalification paperwork, and most local suppliers handle it manually.
We work with teams across Bunbury: Bunbury CBD · Australind · Eaton · Dalyellup · Collie.
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How we build AI document processing for a Bunbury team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Bunbury business, so value lands before the build is finished. AI for paperwork.
Talk to usThe outcome for Bunbury teams
What changes for Bunbury 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 Bunbury 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 Bunbury 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 Bunbury?
Yes. Cuts data-entry labour by 80% on invoices, POs, and timesheets. We'll share comparable engagements on the call.
What if our Bunbury 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.
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.