Physiotherapists · Applied AI

Built for the physiotherapist who's already tried the off-the-shelf option and bounced off it.

Physiotherapists 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.

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

From the trenches

The shape of every physiotherapist brief we've seen.

  • Physio clinics run tight appointment books where a single no-show or late reschedule costs real revenue.
  • ACC paperwork, rebooking, and treatment plan follow-ups eat the hours physios would rather spend with patients.
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How we build AI document processing for physiotherapists.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a physiotherapist business, so value lands before the build is finished. AI for paperwork.

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The outcome for physiotherapists

Cuts data-entry labour by 80% on invoices, POs, and timesheets. For physiotherapists, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

How fast could we have AI document processing in production?

Eight to ten weeks for most physiotherapists. 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 physiotherapists 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 physiotherapist 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 short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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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.