Appointment assistant halves no-shows
An AI appointment assistant that books, reschedules and reminds patients across channels.
- 52%
- fewer no-shows
- 60%
- fewer front-desk calls
- 24/7
- self-service
The problem we solved
High no-show rates and an overloaded front desk were costing the clinic group revenue and frustrating patients.
What the client was doing before
Appointment booking was done by phone during business hours. Reminders were sent as SMS messages by admin staff the day before. Cancellations required calling back, and rescheduling was handled by the receptionist navigating a desktop scheduling system. No-show rates varied by clinic but averaged above 20%.
How we solved it
We built an AI assistant integrated with their scheduling system to handle bookings, reminders and rescheduling automatically.
How the system is built
The key components and how they connect.
- Patient channels
- AI Assistant
- Scheduling system
- Reminder workflows
- Reporting
Technologies used
What we delivered
- No-shows reduced by more than half
- Front-desk call volume down 60%
- Patients can self-serve at any hour
ROI
Recovered revenue from reduced no-shows covered the project cost within two months.
What we learned from this engagement
Practical takeaways that inform how we approach similar projects.
- Multi-language capability (Arabic and French) was essential — without it, patient adoption in Morocco would have been limited to one demographic.
- Privacy controls need to be designed before any other feature — healthcare data governance cannot be retrofitted.
- Phased rollout across clinics, not simultaneous launch, gave us real feedback to improve the assistant before full deployment.
"The assistant feels like an extra team member who never sleeps. Our staff and patients both love it."
Clinic Administrator
Multi-clinic Group
Service
AI EngineeringIndustry
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