AI document processing for dog groomers.

Dog groomers-grade AI document processing, shipped by people who've done it before.

The two or three things that decide whether this works for dog groomers.

Groomers run tight appointment slots where a single no-show leaves an expensive gap in the day.

Booking confirmations and reminder texts are the simplest lever for cutting no-shows in a grooming business.

Appointments, reminders and pet notes handled automatically, so nobody has to put the clippers down for the phone.

An AI agency, minus the theatre.

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.

How Kiwi Dynamics works

We find the one workflow costing dog groomers the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

What AI document processing actually does

Scanned invoices, signed contracts, handwritten timesheets, PDF specs - extracted into clean data and routed where they belong. With the right workflow automated, nine hours of admin a week could drop to about one.*

*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.

From one-person trades to national organisations, we find the hours :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

One workflow.
In production.
In weeks.

What AI document processing covers

The shape of the result for dog groomers: Cuts data-entry labour by 80% on invoices, POs, and timesheets.

  • Vision models read scans, photos, and handwriting
  • Pushes structured data into Xero, your CRM, or sheets
  • Confidence flags route low-certainty docs to a human
  • Handles te reo, bilingual forms, and old NZ templates
  • No shelfware or licences you do not use
  • No AI theatre

Good questions, answered

How fast could we have AI document processing in production?

Eight to ten weeks for most dog groomers. 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 realistic outcome for dog groomers?

Cuts data-entry labour by 80% on invoices, POs, and timesheets. We don't promise tenfold lifts because we don't see them outside of marketing decks.

What if our dog groomer 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.

What does the Privacy Commissioner expect before we use AI?

Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.

Can it keep track of ACC levies?

Yes. ACC work levies are set by the classification unit your work falls under, and self-employed people are invoiced after filing their tax return.

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