AI efficiency audit for cleaning companies.
Built for the cleaning company who's already tried the off-the-shelf option and bounced off it.
Quotes with GST, rosters and payday filing for a spread-out team, handled without the Sunday night spreadsheet.
How much is the admin really costing you?
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
Knows the New Zealand rules.
We find the admin that repeats every week, like payday filing and GST returns, and automate that first so the hours come back fastest.
- Payday filing, every payday
- GST at 15 per cent
- Health and safety sits with the business
Small crew or big organisation, the busywork is the same :)
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.
The shape of the result for cleaning companies: Average pilot saves 8 hours/week within 30 days of launch. Built on Claude, hardened with the rest of the stack as it scales. Kiwi Dynamics
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.
Straight answers
Has this actually shipped for a real cleaning company?
Yes. Average pilot saves 8 hours/week within 30 days of launch. We'll share comparable engagements on the call.
What's the realistic timeline for AI efficiency audit with a cleaning company?
Most cleaning companies have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".
What happens if we want to swap a vendor out later?
AI efficiency audit is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, Notion, Loom, Linear, Vercel are our defaults, but the build is intentionally portable.
Can reminders follow the new WoF rules?
They need to. From 1 November 2026 many light vehicles aged 4 to 14 years move to a WoF every two years, and new vehicles get their second WoF at 4 years.
Can it keep our building records in order?
Yes. Restricted building work must be done or supervised by a Licensed Building Practitioner, who provides a Record of Building Work, and AI can keep those filed per job.
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