FOR ESTABLISHED CLEANING BUSINESSES ALREADY GENERATING ENQUIRIES

You may not need more leads.
You may need to
convert more.

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

DigiStratInn automated lead-to-booking system

THE PROBLEM

You’re already paying for the enquiry.
What happens next?

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.

Enquiry
Questions
Pricing
Quote
Follow-up
Booking-Ready
Enquiry
Questions
Pricing
Quote
Follow-up
Booking-ready

“The goal isn’t to replace your team. It’s to stop using human time for work that follows predictable rules.”

SEE IT WORK

See the system handle
real enquiries.

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.

Image

Real workflow. Real customer journeys.

THE SYSTEM

From new enquiry to
booking-ready customer.

01

NEW ENQUIRY ARRIVES

Meta, Google, website or another connected enquiry source enters the system.

02

QUALIFICATION BEGINS

The customer is asked the service-specific questions required for the job.

03

REQUIRED INFORMATION IS COLLECTED

Quantities, seat counts, dimensions, suburb, condition and other approved inputs are gathered conversationally.

04

STANDARD JOBS ARE PRICED USING YOUR RULES

Pricing is calculated from client-approved deterministic business rules — not guessed freely by AI.

05

QUOTE + FOLLOW-UP

The customer receives the quote and the system tracks whether they accept, reject or remain undecided.

06

BOOKING-READY HANDOFF

Once the agreed information is complete, the customer is handed to staff at the point where human involvement is required.

Standard jobs automated. Exceptions stay human.

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.

REAL CUSTOMER JOURNEYS

Real enquiries. Real-world results.

See how the system handled actual enquiries in a working cleaning business.

Illustrative reconstructions based on real customer interactions.

SCOPE CHANGE + AUTOMATIC PRICING

The customer changed the job halfway through.

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.

  • Rug: R950
  • 5-seat upholstery: R1,450
  • Combined quote: R2,400

Updated full scope → completed quote six minutes later.
Six minutes refers to the time from receiving the updated full scope to the completed quote.

Daya case-study illustration

SCOPE CHANGE + AUTOMATIC PRICING

The customer changed the job halfway through.

Daya case-study illustration

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.

  • Rug: R950
  • 5-seat upholstery: R1,450
  • Combined quote: R2,400

Updated full scope → completed quote six minutes later.
Six minutes refers to the time from receiving the updated full scope to the completed quote.

Debbie case study – automation with human control

AUTOMATION + HUMAN CONTROL

Staff intervened without breaking the process.

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.

  • Rug 1: R950
  • Rug 2: R950
  • 4-seat upholstery: R1,350
  • Total: R3,250

Automation when useful. Human control when needed.

AUTOMATION + HUMAN CONTROL

Staff intervened without breaking the process.

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.

  • Rug 1: R950
  • Rug 2: R950
  • 4-seat upholstery: R1,350
  • Total: R3,250

Automation when useful. Human control when needed.

Debbie case study – automation with human control

AUTOMATION + HUMAN CONTROL

Staff intervened without breaking the process.

Debbie case study – automation with human control

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.

  • Rug 1: R950
  • Rug 2: R950
  • 4-seat upholstery: R1,350
  • Total: R3,250

Automation when useful. Human control when needed.

LONGER SALES CYCLE

The customer came back seven days later.

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.

  • After-hours enquiry → R1,150 quote
  • Customer returns seven days later → booking details collected
  • Booking-ready handoff → staff confirmed appointment

Not every customer buys immediately. The process doesn’t have to start from zero when they come back.

Judith case study – customer returns after seven days

LONGER SALES CYCLE

The customer came back seven days later.

Judith case study – customer returns after seven days

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.

  • After-hours enquiry → R1,150 quote
  • Customer returns seven days later → booking details collected
  • Booking-ready handoff → staff confirmed appointment

Not every customer buys immediately. The process doesn’t have to start from zero when they come back.

MEASURED PERFORMANCE

Quote-to-Confirmed-Booking Conversion

0.0%
QUOTE-TO-CONFIRMED-BOOKING CONVERSION DURING THE MEASURED PERIOD

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.

CONTROL STAYS WITH YOU

Not a black-box chatbot.
Control stays with you.

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.

Your Pricing

We configure the system around your approved pricing rules.

Your Exceptions

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

Your Staff

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

Your Process

The system hands customers back to staff at the agreed booking or review point.

AI handles conversation. Your approved rules control the business logic.

CRITERIA & QUALIFICATION

Is this a fit for your business?

This works best for established cleaning businesses where enquiry volume, repeatable pricing and manual qualification make the process worth improving.

IDEAL PROFILE

This Works Best If...

Built specifically for growth-focused cleaning operators handling regular lead inflows.

  • You already receive a meaningful number of cleaning enquiries.
  • You advertise through Meta, Google or another consistent channel — or already have steady organic demand.
  • At least some common jobs follow predictable pricing rules.
  • Someone currently spends time qualifying, quoting or following up.
  • Your business has capacity to take additional booked work.
  • The person applying can make or influence the implementation decision.

MISALIGNED USE CASE

Probably Not a Fit If...

We would rather be upfront now than deploy a workflow that does not suit your operational model.

  • You only receive a few enquiries per month.
  • Nearly every job requires an on-site inspection before any useful price can be given.
  • Your pricing changes case-by-case with no repeatable logic.
  • You are looking for guaranteed bookings or revenue.
  • You want a completely bespoke software-development project.

Territory availability and implementation fit are confirmed before any agreement is finalised.

THE IMPLEMENTATION

We install the complete system.

One transparent, fixed investment. Full architecture, configured implementation, and end-to-end deployment without recurring agency retainer fees.

ONCE-OFF IMPLEMENTATION

R15,000

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.

  • CRM setup
  • Cleaning-specific qualification journey
  • Service configuration
  • Client-approved pricing logic
  • Service-area rules
  • Automated quote flow
  • Acceptance / rejection handling
  • 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

OUR DELIVERY COMMITMENT

Operational as agreed. Or your money back.

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.

EXCLUSIVE TERRITORY PROTECTION

One cleaning business. One protected territory.

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.

EXCLUSIVE TERRITORY PROTECTION

One cleaning business. One protected territory.

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.

COMMON QUESTIONS

Questions owners normally ask.

Clear operational answers on pricing precision, team handoffs, software integrations, and deployment boundaries before you decide to proceed.

Can the system give customers the wrong price?

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.

Every cleaning job is different. Will this still work?

You decide which jobs can be priced automatically and which require human review. The system doesn't need to automate every possible enquiry.

Will customers still be able to speak to us?

Yes. Staff can intervene whenever needed. The system is designed to remove repetitive qualification and administration, not human relationships.

We already use WhatsApp. Why do we need this?

WhatsApp is the communication channel. The system adds the process behind it: structured qualification, controlled pricing, quote status, follow-up and booking handoff.

Do we need to replace our entire business system?

No. This is a focused enquiry-to-booking conversion implementation. Existing tools and integration requirements are reviewed before deployment.

What will my monthly running costs be?

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.

How quickly can this go live?

The target is 5–7 business days once all approved services, pricing rules, service areas and required platform access have been received.

What does the guarantee cover?

The guarantee covers successful deployment of the agreed implementation scope. It does not guarantee a specific number of bookings or revenue.

What does protected territory mean?

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.

COMMON QUESTIONS

Questions owners normally ask.

Clear operational answers on pricing precision, team handoffs, software integrations, and deployment boundaries before you decide to proceed.

Can the system give customers the wrong price?

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.

Every cleaning job is different. Will this still work?

The objective is not to automate every possible job. Repeatable jobs can follow approved rules. Complex, commercial or unusual jobs can stay human.

Will customers still be able to speak to us?

Yes. Staff can intervene whenever needed. The system is designed to remove repetitive qualification and administration, not human relationships.

We already use WhatsApp. Why do we need this?

WhatsApp is the communication channel. The system adds the process behind it: structured qualification, controlled pricing, quote status, follow-up and booking handoff.

Do we need to replace our entire business system?

No. This is a focused enquiry-to-booking conversion implementation. Existing tools and integration requirements are reviewed before deployment.

Are there monthly fees?

DigiStratInn charges R15,000 for the agreed implementation. Third-party CRM, WhatsApp, messaging and AI/usage charges are separate and disclosed before deployment.

How quickly can this go live?

The target is 5–7 business days once all approved services, pricing rules, service areas and required platform access have been received.

What does the guarantee cover?

The guarantee covers successful deployment of the agreed implementation scope. It does not guarantee a specific number of bookings or revenue.

What does protected territory mean?

DigiStratInn deploys this implementation to one cleaning business per agreed protected territory. Territory boundaries and availability are confirmed before implementation.

You’re already paying for the enquiry.
Install the system that handles what happens next.

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