Cleaning companies · Applied AI

AI content generation that fits a cleaning company's week, not the other way around.

AI content generation is overhyped at the macro level and underused at the workflow level. For a NZ cleaning company, that gap is where the actual ROI lives – and where most of our work happens.

What AI content generation actually does

A content engine trained on your voice, not generic SaaS-speak. Service pages, blog posts, social captions, and email sequences that sound like you wrote them at 2am – but didn't.

  • 01 Voice and tone trained on your past content
  • 02 Built-in NZ-specific spelling, terms, and slang
  • 03 Auto-publishes to your CMS, scheduled across channels
  • 04 You approve before anything goes live

Built on: Claude Vercel AI SDK Sanity Buffer Ghost

Sector reality

Cleaning companies need software built around their week, not against it.

  • 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 content 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. AI content engine.

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The outcome for cleaning companies

We'd call the engagement a success when cleaning companies are using the system without thinking about us. Publishes 4x more content per week without adding headcount.

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 a typical engagement length for cleaning companies?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Anyone else in this space using AI content generation?

Plenty. Publishes 4x more content per week without adding headcount. 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.

Can you work with our existing systems?

Yes. The default AI content generation stack we reach for is Claude, Vercel AI SDK, Sanity, Buffer, Ghost, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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