Seasonal Call Spikes
Deadlines and campaigns drive sudden surges that overwhelm public service lines and leave citizens on hold.
GOVERNMENT & PUBLIC SECTOR
Citizen calls answered,without the hold music.
Sarj handles high-volume citizen inquiries in native Arabic dialects, hosted in the Kingdom and built to NCA and SDAIA frameworks.
Trusted by the fastest growing financial services.
Interactive workflows
Real government workflows,executed in real time.
Pick a workflow and talk to the agent in your own dialect, then watch it handle the request and log every step for audit.
Talk to the Service Inquiry
Khaled · English · explains a public service
Caller asks what documents a service needs. The panel shows the matching service and its requirement list.
Why Sarj
Citizens shouldn't haveto call twice.
High call volumes, strict data rules, and fixed teams leave citizens waiting for answers they could get instantly.
Strict Data Rules
Citizen data must stay in the Kingdom and meet national frameworks, which limits many foreign AI tools.
Repeat Inquiries
The same status and eligibility questions fill the queue while complex cases wait behind them.
Dialect Distance
Callers speak regional dialects, and English-first bots mishear them, pushing simple requests to an agent.
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.