AI document processing for roofers.

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

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.

Measure-ups turned into quotes with GST shown correctly, and job photos filed for restricted building work records.

On the tools or running at scale, the admin still eats the week :)

Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.

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

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.

How Kiwi Dynamics works

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

Less admin.
More weekend.
No theatre.

What you get

The shape of the result for roofing companies: 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 AI theatre
  • No annual contracts

What years of building for roofing companies taught us.

Roofers quote off photos, chase weather windows, and juggle insurance jobs that all move at different speeds.

Fast, accurate quoting from a photo is the single biggest lever for a roofing business's close rate.

Good questions, answered

What's a typical engagement length for roofing companies?

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.

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.

Can AI help with payday filing?

It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.

Will quotes and invoices show GST properly?

Yes. GST is 15 per cent on most goods and services in New Zealand, and anything we build that prices work shows it the way your accounts need.

Talk to us about AI document processing

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