Cleaning companies · Applied AI

For cleaning companies who want results in weeks, not a year-long transformation programme.

Most cleaning companies we talk to aren't short of dashboards or tools – they're short of an hour back in the week. That's the lens we put on AI outbound sales: not a tech showcase, but a careful look at the one or two workflows where a cleaning company is paying for the same problem to be solved twice.

What AI outbound sales actually does

An AI sales agent that runs your outbound — researches prospects, personalises the pitch, sends the first 3 touches, and only hands a warm reply to a human. Hits the activity numbers no SDR can keep up with, without the spammy blast feel.

  • 01 Lookalike prospect lists built from your best existing customers
  • 02 Personalised first-touch emails and LinkedIn messages — not templated
  • 03 Auto-followups across email + SMS until they reply or opt out
  • 04 Warm replies routed straight to your CRM with full context

Built on: Claude + GPT-4 for messaging Apollo / Clay for enrichment HubSpot or your existing CRM Twilio for SMS, Gmail / Outlook for email

From the trenches

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.
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How we build AI outbound sales 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. Outbound that doesn't sleep.

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The outcome for cleaning companies

What changes for cleaning companies after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer — 3× the meetings booked, same pipeline cost.

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 AI outbound sales 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 does AI outbound sales 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.

Anyone else in this space using AI outbound sales?

Plenty. One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer — 3× the meetings booked, same pipeline cost. 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?

AI outbound sales 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 + GPT-4 for messaging, Apollo / Clay for enrichment, HubSpot or your existing CRM, Twilio for SMS, Gmail / Outlook for email are our defaults, but the build is intentionally portable.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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