A multi-branch Riyadh clinic network was losing revenue to no-shows and burning out reception teams on endless phone calls. Mukh.1's AI scheduling and follow-up agents automated bookings, reminders, and post-visit care across every branch, in Arabic and English.
Manual scheduling was costing revenue and goodwill
The network operated eight branches across Riyadh, each with a reception team fielding hundreds of calls a day for bookings, rescheduling, and questions. Missed calls meant missed appointments, no-shows drained daily capacity, and follow-up care depended on staff remembering to call patients back.
Availability was split across eight branches and dozens of doctors with no single bookable view.
Patients expected service in Arabic and English, but staffing native speakers on every shift was hard.
Patient information required careful handling and strict access controls at every step.
Flu season and campaign periods overwhelmed reception with volumes no fixed team could absorb.
From first booking to post-visit care, fully automated
Mukh.1 deployed a set of specialized agents that met patients on WhatsApp, phone, and web. A voice and chat scheduling agent booked, rescheduled, and confirmed appointments across all branches in Arabic and English, while a follow-up agent handled reminders and post-visit care, escalating clinical questions to staff instantly.
Our reception teams were exhausted before lunch, and we still lost money to empty chairs every afternoon. The AI agents now book and remind patients around the clock in perfect Arabic and English, and our schedule finally runs the way it should.
Measured across all eight branches in the first quarter
Real impact on real lives
“One of our nurses told me she finally gets to focus on patients in the room instead of a ringing phone. That is the real win. Technology quietly handling the routine so our people can do the caring only humans can do.”
The Mukh.1 platform powering excellence
Speech-driven booking used OpenAI real-time voice APIs for natural Arabic and English calls.
LangGraph coordinated scheduling and follow-up agents with clean escalation paths to staff.
WhatsApp integration via webhooks delivered reminders and handled chat-based bookings.
PostgreSQL stored multi-branch appointment data with real-time availability syncing.
A RAG pipeline over a vector database grounded responses in clinic policies and service details.
AWS hosted the deployment with role-based access controls protecting patient information.
Discover how Mukh.1's AI scheduling and follow-up agents can cut no-shows and free your clinical teams.