Chiropractors are some of the most efficient operators in New Zealand – which means the easy wins from AI document processing are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.
Chiropractors · Applied AI
Built for the chiropractor who's already tried the off-the-shelf option and bounced off it.
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 Kiwi Dynamics
With Kiwi Dynamics
Sector context
Where chiropractors actually lose hours and dollars.
- Chiropractic clinics run on repeat visits, and keeping a treatment plan on schedule takes constant follow-up.
- Rebooking and treatment plan adherence are what most affect a chiropractic clinic's outcomes and revenue alike.
How we build AI document processing for chiropractors.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a chiropractor business, so value lands before the build is finished. AI for paperwork.
Talk to usThe outcome for chiropractors
We'd call the engagement a success when chiropractors 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.
Questions
FAQ
How fast could we have AI document processing in production?
Eight to ten weeks for most chiropractors. 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 chiropractors 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.
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 if our chiropractor 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.
Get in touch
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.