Dog groomers 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.
Dog groomers-grade AI document processing, shipped by people who've done it before.
Our goal is to give dog groomers a three-day weekend, so people can spend more time with their families and the people they love :)
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
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI document processing runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for dog groomers first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI document processing compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
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.
How we build AI document processing for dog groomers.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a dog groomer business, so value lands before the build is finished. AI for paperwork.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing dog groomers the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for dog groomers
The shape of the result for dog groomers: Cuts data-entry labour by 80% on invoices, POs, and timesheets. Built on Claude Vision, hardened with the rest of the stack as it scales.
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 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 smallest engagement you'd take on?
A two-week paid discovery for dog groomers 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.
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.
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.