Cleaning Service Sub-Account Kit

1. No. 01

   1 AI Receptionist

   Component 01 · AI Receptionist

   The problem

   Every cleaner is inside somebody's house between nine and four, so quote calls ring out, and the operator opening a cleaning account has to build call handling that can tell a recurring client reporting a key problem from a new residential quote.

   Once it is loaded

   Nothing rings out during working hours: new quotes are qualified on bedrooms, bathrooms and frequency, existing clients reporting an access or rota problem go straight to the office, and commercial enquiries are kept apart from residential ones.

   How it pays back

   Fifteen missed quote calls a week against a recurring client worth roughly $3,600 a year means the operator needs only a handful to convert before the retainer looks cheap on the client's own spreadsheet.

2. No. 02

   1 AI Chatbot

   Component 03 · AI Chatbot

   The problem

   The whole conversation is pricing, from bedrooms and bathrooms to frequency, pets and whether it is a move-out, and an operator who ships a generic bot per account gets a transcript full of please call us for a quote and no bookings at all.

   Once it is loaded

   The assistant prices by property size and frequency from the account's own rates, explains the difference between a one-off deep clean and a recurring schedule, handles supplies and pet questions, and books the first visit across chat, SMS and the social inboxes.

   How it pays back

   A household comparing cleaners on a Sunday gets a fortnightly price in seconds rather than on Monday morning. That is what turns a price-shopper into a recurring client, which is the only number a cleaning client cares about.

3. No. 03

   Pipelines

   Not one of the nine — what they run on

   The problem

   A one-off deep clean, a recurring residential schedule and a commercial contract with a procurement cycle and an insurance certificate run on entirely unrelated clocks, and an operator running them on one board cannot see which recurring clients are quietly lapsing.

   Once it is loaded

   One-off work, recurring residential and commercial contracts each get their own board, recurring clients carry frequency and next-visit status, and a lapsing board catches a household that a skipped visit has already moved towards the door.

   How it pays back

   Building those boards, their stage automations and a churn-risk view by hand is most of a day per sub-account, and the churn board is the one operators run out of time for, which is the one that saves the account.

4. No. 04

   Workflows

   Not one of the nine — what they run on

   The problem

   What breaks a cleaning account is a cancelled Tuesday, a cleaner off sick, a rota swap and a client who has skipped twice, and an operator rebuilding that per account always ships the quote follow-up and never the retention side.

   Once it is loaded

   Cancellations trigger a same-day rebooking attempt, a second skip flags churn risk to the office, rota changes notify the household before the doorbell does not ring, and one-off clients get the recurring offer while the result is still visible.

   How it pays back

   The build hours matter less here than what they buy: a recurring client worth roughly $3,600 a year who was rebooked on the day they cancelled, instead of drifting away over six unremarkable weeks.

5. No. 05

   Appointment reminders, confirmations and no-show recovery

   Component 05 · Smart Appointment System

   The problem

   Reminding a weekly client before every single visit trains them to ignore you, and reminding a first-time deep clean too lightly loses the access arrangements, and every operator gets that balance wrong at least once per cleaning account.

   Once it is loaded

   First visits get the full ladder with access, key and alarm-code instructions, recurring visits get a light touch with the cleaner name and window, and a missed one-off triggers a recovery call inside the hour towards the 70% target.

   How it pays back

   Take 180 visits a week with 12 cancellations. If the ladder and the recovery call save two a week from becoming cancelled schedules, the client can total that themselves at their own recurring value.

6. No. 06

   Funnels

   Not one of the nine — what they run on

   The problem

   Cleaning offers split cleanly into first-clean discounts, move-out cleans, deep cleans and commercial walkthrough requests, and an operator writing those paths per account is rebuilding the same frequency-and-price selector for the fourth time.

   Once it is loaded

   Bedrooms, bathrooms, frequency, pets and access are captured on the way in, the recurring price is shown against the one-off so the schedule is the obvious choice, and commercial enquiries route to a walkthrough booking instead.

   How it pays back

   Every enquiry arriving with a frequency already chosen moves the client's average contract value, which is a different and better argument at renewal than the hours an operator saved not rebuilding a price selector.

7. No. 07

   AI Studio website

   Component 04 · Professional Website

   The problem

   Cleaning websites are a price list and a phone number, so the operator writes recurring, deep clean, move-out, end-of-tenancy and office cleaning pages themselves and rebuilds a suburb-level structure for the third company this year.

   Once it is loaded

   Recurring, deep clean, move-out, end-of-tenancy and office pages come written, recurring versus one-off is framed as a choice rather than a menu, vetting and insurance are stated plainly, and the quote forms feed the right boards.

   How it pays back

   Suburb pages for a third cleaning company in a year is work an operator has already done twice. Loading them instead is either a setup fee or the capacity to take on the company that enquired last week.

8. No. 08

   Nurture campaign

   Component 02 · AI Outbound Caller + Component 08 · Database Reactivation

   The problem

   The one-off deep cleans that never became schedules and the weekly clients who stopped for a holiday and never restarted sit untouched, because working that list is a build no operator does inside a fixed onboarding fee.

   Once it is loaded

   A one-off client gets the recurring offer while the house still looks it, quotes that went silent are picked up rather than filed, and a lapsed weekly client is asked what changed instead of being sent a discount.

   How it pays back

   Three hundred past one-off clients, and a recurring client worth roughly $3,600 a year. Converting a small handful is a renewal argument the operator makes from the client's own dashboard rather than from a case study.

9. No. 09

   Review automation

   Component 06 · Review Harvesting + Component 07 · Review Automation

   The problem

   A cleaning company generates enormous goodwill weekly and almost no public evidence of it, because asking a fortnightly client for a review after every visit is obnoxious and nobody wants to build the logic that stops it happening.

   Once it is loaded

   One-off and first cleans trigger the ask at completion, recurring clients are asked once and then left alone for a long interval, a satisfaction gate routes complaints to the office, and the cadence targets 5 to 10 reviews a month.

   How it pays back

   More happy clients pass through 180 visits a week than through any trade an operator serves, usually alongside fewer reviews than any of them. Fixing that ratio is the least arguable line in a monthly report.

10. No. 10

    Seasonal automation

    Component 09 · Lifetime Nurture Campaigns

    The problem

    Spring deep cleans, pre-Christmas bookings, the tenancy-change months and a commercial contract renewal date all sit on the calendar, and an operator hard-coding them into an account is redoing it for the next company in a different rental market.

    Once it is loaded

    The spring deep-clean push, the pre-holiday booking campaign, the end-of-tenancy season prompt, commercial renewal reminders and the referral ask to recurring clients run from account-level months, so a different rental market is a configuration change rather than a rebuild.

    How it pays back

    Calendar hours are not the argument. The December a client filled because the pre-holiday campaign went out in November, while the operator was working on an entirely different account, is the argument.

11. No. 11

    Custom values

    Not one of the nine — what they run on

    The problem

    The cancellation notice period alone appears in confirmations, reminders and the rebooking message, and an operator who typed 24 hours into each of them edits every one when a company moves to 48.

    Once it is loaded

    Rates by property size, frequency discount, cancellation notice, supplies policy, key-holding and alarm procedure, vetting and insurance wording and the coverage postcodes are held once and read by every message that mentions them.

    How it pays back

    Multiply an hour and a half of rewiring by the cleaning companies you sign, then consider the cancellation message that did not quote a 24-hour notice period to a client whose contract says 48.

12. No. 12

    Custom fields

    Not one of the nine — what they run on

    The problem

    The rota and the churn view both read from fields that do not exist by default: frequency, next visit, access method, pets, allergies, the assigned cleaner, and whether this is a residential schedule or a commercial contract.

    Once it is loaded

    Recurring frequency and next visit, one-off or contract, bedrooms and bathrooms, access and key arrangement, pets and allergies, preferred cleaner, skip history and commercial renewal dates are on the record from the first import.

    How it pays back

    Until frequency, access and skip history exist on the record, the churn automations have nothing to read. Retrofitting that onto 1,200 existing clients is about two days of operator time that never needed spending.

13. No. 13

    Forms and surveys

    Not one of the nine — what they run on

    The problem

    Bathrooms, frequency, pets, parking: none of it is on the form, so the office rings back, and by then the household has booked the company whose form asked properly and priced the job on the spot.

    Once it is loaded

    Property size, frequency, pets, access arrangements, parking and any allergies are captured before a price is quoted, and the post-visit survey separates a complaint about a cleaner from a complaint about the schedule.

    How it pays back

    The office ringing back to ask about bathrooms is roughly a working day a week across 60 enquiries. Intake takes that back and tells the operator whether recurring or one-off enquiries actually convert for this client.

On purchase you receive two things: one snapshot link, and one PDF with full installation instructions. Installation is not in the kit price — load it yourself from the PDF, or add installation by us for $200 a sub-account. Every payback figure above is an illustrative scenario with its assumptions in the sentence, not a measured customer result.