AI receptionist for a beauty clinic
Sample beauty clinic
An AI receptionist that books appointments around the clock, answers repetitive questions, and turns missed calls into bookings.
The problem
Beauty clinics get dozens of calls and messages a day for bookings and prices; most are repetitive. The receptionist can't keep up, nobody answers at night or during rushes, and every missed call is a lost booking.
of calls are just repetitive questions
messages arrive after hours
bookings lost to slow replies
What I built
I built an AI receptionist connected to the clinic's DMs and WhatsApp; it books appointments itself, answers specialist questions from the clinic's knowledge, and follows up with hesitant customers. All in one system, not scattered tools.
Before — scattered tools
- Phone & booking notebook
- Instagram DMs
- Personal WhatsApp
- Excel list
After — one coherent system
- 24/7 AI receptionist
- Automated booking
- Knowledge-based answers
- Automatic follow-up & reminders
The result
Model estimate (transparent assumptions)hours freed per month
bookings recovered per month
monthly benefit (Toman)
The path & the cost of each stage
Discovery & readiness assessment
We map the clinic's process and numbers and prioritize the opportunities.
System design
The system map, tool choices, and integration plan are defined.
Build & launch
The AI receptionist is built and connected to DMs and WhatsApp.
Care & improvement
Monthly monitoring, answer tuning, and a results report.
Cost vs. value
Model estimate (transparent assumptions)Monthly system cost
Monthly return for the clinic
$2,750 · /mo
So for roughly every 1 you spend, about 5 comes back.
Try it right here
Drop in your own clinic's numbers and see your result instantly.
Enter your business's numbers
The default numbers are a real clinic example. Replace them with your own business's numbers and your exact result is calculated instantly.
Total calls and DMs
Price, hours, address, booking
Staff time spent on each message
After-hours, busy line, slow reply
Out of 10 replies, how many book
Receptionist or whoever answers
$3,500
Revenue per booking or purchase
$250
Assumptions (transparent & editable)+
Global benchmark 40–70%; realistic default 60%
How many lost opportunities a 24/7 system wins back
One-time cost to build the system; typically 15–35M Toman
$3,000
Monthly support & maintenance; typically 2–5M Toman
$750
The result for your business
Payback period
2.2 months
When the setup cost is recovered
Year-1 return (ROI)
113%
Return vs. your total first-year cost
This system's cost: $3,000 setup + $750 /mo
- Total monthly benefit$2,131
- Year-1 net gain$13,575
- Revenue recovered (monthly)$1,563
- Staff cost saved (monthly)$569
- Hours freed per month33.8
- Bookings recovered per month6.3
Where this result comes from
24/7 smart receptionist (replies & booking)
Knowledge assistant (specialist questions) · Follow-up & reporting automation
This is computed with realistic, research-based assumptions; it is an estimate, not a guarantee, and your real result depends on your business. Every assumption is editable and the formula is transparent.
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