Routine Call Volume
Balance, bill, and plan questions make up most calls and tie up agents who could be solving real problems.
TELECOMMUNICATIONS
Subscriber calls answered,before the queue forms.
Sarj handles bill, plan, and top-up questions by voice and WhatsApp in native dialects, and chases overdue accounts automatically.
Trusted by the fastest growing financial services.
Interactive workflows
Real telecom workflows,executed in real time.
Pick a workflow and talk to the agent in your own dialect, then watch it check the account and complete the request.
Talk to the Bill Inquiry
Khaled · English · explains a monthly bill
Caller asks why the bill rose. The panel shows the account, the extra charge, and a plain-language explanation.
Why Sarj
Every new subscriberadds another call.
Telecom contact centers absorb huge routine volumes, and collections and retention calls compete for the same agents.
Outage Surges
Network incidents trigger sudden spikes in calls that no fixed team can absorb without long waits.
Overdue Bills
Unpaid accounts need persistent, polite reminders that stretched teams rarely have time to make.
Channel Silos
Customers start on a call, continue on WhatsApp, and repeat everything because channels don't share context.
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.
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
Internal Automation
Handwritten claims and automating backend workflows across 40+ clinics
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.