FOR ESTABLISHED CLEANING BUSINESSES ALREADY GENERATING ENQUIRIES
DigiStratInn installs a cleaning-specific Lead-to-Booking Conversion System that handles the repetitive work between a new enquiry and a booking-ready customer — qualification, approved-rule pricing, quote delivery, follow-up and handoff to your team.
R15,000 once-off implementation • Territory availability subject to confirmation
A new enquiry still needs to be answered, qualified, priced, quoted, followed up and taken to the point where the customer is ready for your team to book the job. When that process depends on a busy owner or staff member being available every time, it can become repetitive, inconsistent and difficult to track.
“The goal isn’t to replace your team. It’s to stop using human time for work that follows predictable rules.”
These are real examples from a working cleaning-business implementation.
You’ll see customers change their requirements mid-conversation, receive rule-based quotes, return days later, accept offers and move through to booking handoff.

Real workflow. Real customer journeys.
Meta, Google, website or another connected enquiry source enters the system.
The customer is asked the service-specific questions required for the job.
Quantities, seat counts, dimensions, suburb, condition and other approved inputs are gathered conversationally.
Pricing is calculated from client-approved deterministic business rules — not guessed freely by AI.
The customer receives the quote and the system tracks whether they accept, reject or remain undecided.
Once the agreed information is complete, the customer is handed to staff at the point where human involvement is required.
Commercial jobs, unusual materials, uncertain measurements or anything the business defines as an exception can be routed to a person instead of forcing an automatic quote.
See how the system handled actual enquiries in a working cleaning business.
Illustrative reconstructions based on real customer interactions.
The customer originally enquired about a five-seat couch.
During qualification, she added a 3×2 metre rug.
The system retained the couch, added the rug and continued the pricing process.
Updated full scope → completed quote six minutes later.
Six minutes refers to the time from receiving the updated full scope to the completed quote.
The customer originally enquired about a five-seat couch.
During qualification, she added a 3×2 metre rug.
The system retained the couch, added the rug and continued the pricing process.
Updated full scope → completed quote six minutes later.
Six minutes refers to the time from receiving the updated full scope to the completed quote.
The customer requested cleaning for two rugs and later added a four-seat lounge.
The system produced an automated quote and a staff member then manually offered R2,950.
After the customer agreed, automation resumed and collected the remaining address, condition and preferred-day information before handing the enquiry to staff.
Automation when useful. Human control when needed.
The customer requested cleaning for two rugs and later added a four-seat lounge.
The system produced an automated quote and a staff member then manually offered R2,950.
After the customer agreed, automation resumed and collected the remaining address, condition and preferred-day information before handing the enquiry to staff.
Automation when useful. Human control when needed.
The customer requested cleaning for two rugs and later added a four-seat lounge.
The system produced an automated quote and a staff member then manually offered R2,950.
After the customer agreed, automation resumed and collected the remaining address, condition and preferred-day information before handing the enquiry to staff.
Automation when useful. Human control when needed.
The customer enquired after hours about two rooms of fitted carpet.
An automated R1,150 quote was sent. The customer did not proceed immediately.
Seven days later, she returned to the original conversation and asked to book.
The system continued the existing enquiry, collected the service address, condition and preferred day, and handed the enquiry back to staff. Staff then confirmed the appointment.
Not every customer buys immediately. The process doesn’t have to start from zero when they come back.
The customer enquired after hours about two rooms of fitted carpet.
An automated R1,150 quote was sent. The customer did not proceed immediately.
Seven days later, she returned to the original conversation and asked to book.
The system continued the existing enquiry, collected the service address, condition and preferred day, and handed the enquiry back to staff. Staff then confirmed the appointment.
Not every customer buys immediately. The process doesn’t have to start from zero when they come back.
During the measured period, 18.8% of enquiries that had been qualified and quoted by the system converted into confirmed bookings.
Client-specific historical performance. Results are not guaranteed.
The system is configured around your approved pricing, qualification rules and operating boundaries. When an enquiry falls outside those rules, it is handed to a person rather than forcing an automated decision.

We configure the system around your approved pricing rules.

You decide which jobs should be automatically priced and which should be reviewed by a person.

Your team can intervene in a conversation or commercial decision whenever needed.

The system hands customers back to staff at the agreed booking or review point.
AI handles conversation. Your approved rules control the business logic.
This works best for established cleaning businesses where enquiry volume, repeatable pricing and manual qualification make the process worth improving.
Built specifically for growth-focused cleaning operators handling regular lead inflows.
We would rather be upfront now than deploy a workflow that does not suit your operational model.
Territory availability and implementation fit are confirmed before any agreement is finalised.
One transparent, fixed investment. Full architecture, configured implementation, and end-to-end deployment without recurring agency retainer fees.
A defined implementation built for established cleaning businesses with repeatable enquiry, qualification and pricing processes.
Target deployment: 5–7 business days
The deployment period begins after DigiStratInn has received the complete approved services, pricing, operating rules and required platform access.
Follow-up logic
Booking-ready handoff
Pipeline setup
Testing and go-live
Staff training
Loom operating guides
30 days onboarding and support
WhatsApp, messaging and AI/usage infrastructure costs are separate from the R15,000 implementation fee and are disclosed before deployment.
R15,000 once-off implementation • Territory availability subject to confirmation
We'll install, configure and test your system against the agreed implementation scope.
If we cannot make that system operational as agreed, we'll fully refund your implementation fee.
Applies to the agreed deployment scope, not bookings or revenue. Third-party costs are separate.
Secure your territory. We won't deploy this same system to a direct cleaning competitor within your agreed protected area while your protection is active.
One territory
One cleaning partner
One clear advantage
Territory boundaries and availability are confirmed before implementation.


Secure your territory. We won't deploy this same system to a direct cleaning competitor within your agreed protected area while your protection is active.
One territory
One cleaning partner
One clear advantage
Territory boundaries and availability are confirmed before implementation.
Clear operational answers on pricing precision, team handoffs, software integrations, and deployment boundaries before you decide to proceed.
The system uses your approved pricing rules rather than inventing prices. The conversational layer collects the information required by those rules. Jobs outside the approved automatic-pricing conditions are routed to human review instead.
You decide which jobs can be priced automatically and which require human review. The system doesn't need to automate every possible enquiry.
Yes. Staff can intervene whenever needed. The system is designed to remove repetitive qualification and administration, not human relationships.
WhatsApp is the communication channel. The system adds the process behind it: structured qualification, controlled pricing, quote status, follow-up and booking handoff.
No. This is a focused enquiry-to-booking conversion implementation. Existing tools and integration requirements are reviewed before deployment.
Your once-off implementation costs R15,000. After installation, you'll have ongoing software and messaging costs of approximately R400 – R700 per month, depending on your setup and usage. We'll confirm your expected monthly costs before you commit. There are no hidden implementation charges.
The target is 5–7 business days once all approved services, pricing rules, service areas and required platform access have been received.
The guarantee covers successful deployment of the agreed implementation scope. It does not guarantee a specific number of bookings or revenue.
We protect one cleaning business per agreed territory against deployment of the same system to a direct cleaning competitor. Protection remains active while the required subscriptions are maintained.
Clear operational answers on pricing precision, team handoffs, software integrations, and deployment boundaries before you decide to proceed.
Automatic prices use client-approved deterministic pricing rules. The conversational layer collects the information required by those rules. Jobs outside the approved automatic-pricing conditions can be routed to human review instead.
The objective is not to automate every possible job. Repeatable jobs can follow approved rules. Complex, commercial or unusual jobs can stay human.
Yes. Staff can intervene whenever needed. The system is designed to remove repetitive qualification and administration, not human relationships.
WhatsApp is the communication channel. The system adds the process behind it: structured qualification, controlled pricing, quote status, follow-up and booking handoff.
No. This is a focused enquiry-to-booking conversion implementation. Existing tools and integration requirements are reviewed before deployment.
DigiStratInn charges R15,000 for the agreed implementation. Third-party CRM, WhatsApp, messaging and AI/usage charges are separate and disclosed before deployment.
The target is 5–7 business days once all approved services, pricing rules, service areas and required platform access have been received.
The guarantee covers successful deployment of the agreed implementation scope. It does not guarantee a specific number of bookings or revenue.
DigiStratInn deploys this implementation to one cleaning business per agreed protected territory. Territory boundaries and availability are confirmed before implementation.
Discover how your cleaning enquiries can move from first response to approved quotes and booking-ready handoff within minutes.
R15,000 once-off implementation • Territory availability subject to confirmation