Every cleaning company business we've worked with has a different definition of "broken". AI document processing only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
Cleaning companies · Applied AI
Cleaning companies-grade AI document processing, shipped by people who've done it before.
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
Lay of the land
The two or three things that decide whether this works for cleaning companies.
- Cleaning businesses run on recurring contracts and one-off quotes, both of which need fast, consistent follow-up to win.
- Quote turnaround and scheduling reliability are what most decide whether a cleaning company keeps a client past the first job.
How we build AI document processing for cleaning companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cleaning company business, so value lands before the build is finished. AI for paperwork.
Talk to usThe outcome for cleaning companies
The shape of the result for cleaning companies: 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.
Questions
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI document processing worth it for a smaller cleaning company?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Has this actually shipped for a real cleaning company?
Yes. Cuts data-entry labour by 80% on invoices, POs, and timesheets. We'll share comparable engagements on the call.
What tools do you build AI document processing on?
For AI document processing we usually reach for Claude Vision, AWS Textract, Mistral OCR, Vercel. We're tool-agnostic at heart – we pick what your cleaning company team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
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.