Dentists · Applied AI

AI document processing that fits a dentist's week, not the other way around.

AI document processing is overhyped at the macro level and underused at the workflow level. For a NZ dentist, that gap is where the actual ROI lives – and where most of our work happens.

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

Field notes

What years of building for dentists taught us.

  • Dental practices live and die by a full chair and a clean recall list, and both take constant admin to keep on track.
  • No-shows, insurance queries, and recall reminders are the recurring admin load behind every dental front desk.
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How we build AI document processing for dentists.

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

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The outcome for dentists

If we build the right slice first, dentists feel the difference inside the first month. 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

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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.

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*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

What's a typical engagement length for dentists?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

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.

Can you work with our existing systems?

Yes. The default AI document processing stack we reach for is Claude Vision, AWS Textract, Mistral OCR, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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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.