Cleaning companies · Applied AI

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

Every cleaning company business we've worked with has a different definition of "broken". AI lead generation 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 AI lead generation actually does

An AI agent that finds new leads matching your best customers, validates the contact details, and feeds a continuous trickle of qualified prospects into your CRM – every week, without you lifting a finger.

  • 01 Lookalike modelling from your closed-won accounts
  • 02 Multi-source enrichment (LinkedIn, Companies Office NZ, web)
  • 03 Email + phone validation before anything hits your CRM
  • 04 Weekly leaderboard of the hottest accounts to chase

Built on: Claude for ICP scoring + research Apollo, Clay, LinkedIn Sales Navigator NZ Companies Office data HubSpot / Salesforce / Pipedrive

What gets in the way

The friction cleaning companies hit that other industries don't.

  • 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 lead generation 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. Get me new leads.

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The outcome for cleaning companies

An NZ B2B software company built a 300-lead/week pipeline on autopilot – entire SDR seat returned. For cleaning companies, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

How fast could we have AI lead generation in production?

Eight to ten weeks for most cleaning companies. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What's the smallest engagement you'd take on?

A two-week paid discovery for cleaning companies that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Do you have proof this works for cleaning companies?

Direct case study: An NZ B2B software company built a 300-lead/week pipeline on autopilot – entire SDR seat returned. Happy to walk you through full numbers on a call.

What if our cleaning company doesn't have any data ready?

Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI lead generation specifically, we typically run that work on Claude for ICP scoring + research, Apollo, Clay, LinkedIn Sales Navigator, NZ Companies Office data, HubSpot / Salesforce / Pipedrive and assume messy starting conditions from day one.

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.