Cleaning companies · Applied AI

Built for the cleaning company who's already tried the off-the-shelf option and bounced off it.

Every cleaning company business we've worked with has a different definition of "broken". Voice AI agents 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.

What voice AI agents actually does

Never miss a call again. AI phone agents that answer common enquiries, book jobs, and route urgent ones – in a Kiwi voice your customers won't hate.

  • 01 Trained on your business hours, services, and pricing
  • 02 Books appointments straight into your calendar
  • 03 Texts the team for anything urgent
  • 04 Full call transcript and audio recorded for QA

Built on: Vapi Retell Twilio OpenAI Realtime

On the ground with NZ cleaning companies

The pattern across most cleaning companies we work with.

  • 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.
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How we build voice AI agents 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 phone agents.

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The outcome for cleaning companies

The shape of the result for cleaning companies: 42% of after-hours calls now booked without human input. Built on Vapi, 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

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

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

What's the realistic timeline for voice AI agents 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".

Is voice AI agents 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.

Anyone else in this space using voice AI agents?

Plenty. 42% of after-hours calls now booked without human input. 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.

What happens if we want to swap a vendor out later?

Voice AI agents 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. Vapi, Retell, Twilio, OpenAI Realtime are our defaults, but the build is intentionally portable.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.