There is a version of AI customer growth that cleaning companies buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second one.
Get me more customers, built around how a cleaning company actually works.
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 customer growth actually does
A done-for-you AI growth engine that runs the full top-of-funnel motion - lookalike prospecting, multi-channel outreach, qualification, and meeting booking - and hands warm conversations to your closers. The 'just get me more customers' button, run by an AI agent.
- 01 Defines your ideal customer profile from your existing best accounts
- 02 Builds and refreshes prospect lists weekly
- 03 Owns first contact through to booked meeting
- 04 Reports weekly on what's working - and stops what isn't
Built on: Claude + GPT-4 orchestration Apollo / Clay / LinkedIn Sales Navigator HubSpot or your existing CRM Custom dashboards in Retool
Without Kiwi Dynamics
With Kiwi Dynamics
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 customer growth 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 customer growth 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 |
What we keep hearing from NZ 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 customer growth 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 more customers.
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: Doubled an NZ professional services firm's qualified pipeline in 90 days - no new headcount. Built on Claude + GPT-4 orchestration, 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 long does AI customer growth take to ship for cleaning companies?
We aim for a working pilot inside 4-6 weeks - narrow scope, real cleaning companies data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
How do you price AI customer growth engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most cleaning companies are surprised how small the first cheque is.
What's the realistic outcome for cleaning companies?
Doubled an NZ professional services firm's qualified pipeline in 90 days - no new headcount. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Who owns the code and the model setup?
You do, on delivery. We deploy AI customer growth into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude + GPT-4 orchestration sits in your account too - we don't operate it from ours.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.