AI data analytics for cleaning companies.

Cleaning companies-grade AI data analytics, shipped by people who've done it before.

Quotes with GST, rosters and payday filing for a spread-out team, handled without the Sunday night spreadsheet.

The shape of every cleaning companie brief we've seen.

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.

Already buried in admin? We'll sort the first workflow for 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.

What AI data analytics actually do

Stop digging through dashboards. 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.

Less admin.
More weekend.
No theatre.

What AI data analytics covers

Owners check the business in 2 minutes instead of 2 hours.

  • Natural-language queries over your Xero, Shopify, CRM data
  • Weekly auto-summaries delivered to inbox or Slack
  • Anomaly detection - flags weird weeks before you notice
  • Forecasts that explain themselves, not black boxes
  • No annual contracts
  • No shelfware or licences you do not use

Definitely not a typical AI agency.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

*Every engagement is scoped and quoted up front. Results vary by workflow and business.

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

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.

Questions cleaning companies ask

What's the realistic timeline for AI data analytics 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 data analytics 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. DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK are our defaults, but the build is intentionally portable.

What does AI data analytics cost for a cleaning company?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Does it keep up with KiwiSaver changes?

It has to. The minimum employer contribution rose to 3.5 per cent on 1 April 2026 and rises to 4 per cent on 1 April 2028.

Can it remind us about the annual return?

Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.

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