Cleaning companies are some of the most efficient operators in New Zealand - which means the easy wins from AI booking agent are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.
Cleaning companies-grade AI booking agent, shipped by people who've done it before.
Our goal is to give cleaning companies a three-day weekend, so people can spend more time with their families and the people they love :)
What AI booking agent actually does
Most enquiries go to whoever replies first, not whoever is best. This answers every WhatsApp, SMS, and Instagram message in seconds, acknowledges what the customer actually said, then walks them through to a booked appointment in your calendar.
- 01 Replies in seconds on WhatsApp, SMS, Instagram, and Messenger - not the next business day
- 02 Acknowledges the customer's actual problem before it asks anything, so it never reads like a bot
- 03 A short question flow that ends in a booking, not an open-ended chat
- 04 Answers your real questions - pricing, parking, insurance, after-hours - from your own website content
Built on: WhatsApp Business API Twilio Claude Cal.com HubSpot
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI booking agent runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for cleaning companies first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI booking agent compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
The two or three things that decide whether this works for cleaning companies.
- 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.
How we build AI booking agent 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. Every enquiry, booked.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing cleaning companies the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for cleaning companies
The shape of the result for cleaning companies: Replying inside five minutes is the single biggest lever on whether an enquiry books at all. Built on WhatsApp Business API, 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI booking agent 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.
Do you have proof this works for cleaning companies?
Direct case study: Replying inside five minutes is the single biggest lever on whether an enquiry books at all. Happy to walk you through full numbers on a call.
What tools do you build AI booking agent on?
For AI booking agent we usually reach for WhatsApp Business API, Twilio, Claude, Cal.com, HubSpot. We're tool-agnostic at heart - we pick what your cleaning company team can actually run after we hand the build over, not what looks good on a vendor sticker.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.