Phone Queue Overload
Patients wait on hold to book or move a visit, and many hang up before anyone answers.
HEALTHCARE & TELEHEALTH
Patient calls answered,in their own dialect.
Sarj books and moves appointments, answers common questions, and routes clinical queries to your staff, around the clock, in Arabic.
Trusted by the fastest growing financial services.
Interactive workflows
Real healthcare workflows,executed in real time.
Pick a workflow and talk to the agent in your own dialect, then watch it find a slot and update your scheduling system.
Talk to the Appointment Scheduler
Khaled · English · books a clinic visit
Caller asks for a visit. Available slots appear, one is booked, and the scheduling system updates.
Why Sarj
Patients wait on holdjust to book a visit.
Clinics and hospitals lose appointments and staff time to phone queues and routine questions that can be automated.
Front-Desk Workload
Reception teams spend the day on routine scheduling and questions instead of the patients in front of them.
Missed Appointments
Without timely reminders and easy rescheduling, slots go unused and waiting lists keep growing.
Language Barriers
Patients speak Arabic dialects mixed with English, and English-first systems frustrate them at the first word.
Proven results
Numbers that hold onpeak-volume Fridays.
Dialect understanding
Sarj98.4%
Generic Arabic LLMs~48%
When evaluated against standard Arabic models on regional speech (Najdi, Hijazi, Gulf), generic AI engines fail to recognize intent in nearly one out of two conversational calls.
+48%
Higher accuracy
vs global voice engines · Gulf dialect
4.8x
Faster voice latency
1,200ms → 250ms
0s
Call queue time
24 mins → 0 seconds
Case Studies
Built for speed.Deployed in days.
Internal Automation
Handwritten claims and automating backend workflows across 40+ clinics
Voice Agents
Agentifying inbound support and debt collection for a leading Saudi fintech
Enterprise SDK
Zero-latency Arabic voice and document OCR directly into banking apps
Claims Automation
Taking first notice of loss by voice, around the clock, for a Saudi insurer
FAQ
Frequently AskedQuestions
Sarj AI is natively trained on regional Arabic datasets - it is not an English model translated on the fly. It understands localized accents and dialects (including Najdi, Hijazi, Gulf, Egyptian, and Levantine) as well as Modern Standard Arabic (MSA).
Automate Conversations.Streamline Workflows.
Sarj AI automates complex customer interactions, extracts critical document
intelligence, and executes backend operations end-to-end.