Cleaning companies · Applied AI

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

AI social media 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 social media actually does

An AI social manager that writes captions in your voice, picks the right photos from your library, and posts on a schedule that actually fits your week – across Instagram, Facebook, LinkedIn, and TikTok.

  • 01 Captions and hashtags trained on your brand voice
  • 02 Pulls and rotates assets from your existing photo library
  • 03 Schedules across platforms with NZ-time aware posting
  • 04 Replies to DMs and comments with human-in-the-loop

Built on: Claude Buffer Meta Graph API Vercel

The honest read

Where most cleaning companies engagements actually deliver value.

  • 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 social media 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 social manager.

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The outcome for cleaning companies

Posting cadence up 5x, hours spent per week down to one. 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

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.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Do you have proof this works for cleaning companies?

Direct case study: Posting cadence up 5x, hours spent per week down to one. Happy to walk you through full numbers on a call.

Can you work with our existing systems?

Yes. The default AI social media stack we reach for is Claude, Buffer, Meta Graph API, Vercel, 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.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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