Peak-Hour Overflow
Hold times spike during high-traffic windows, causing customer attrition and missed high-priority fraud alerts.
BANKING & FINANCIAL SERVICES
AI support trusted withthe 2 a.m. fraud call
SAMA-ready voice agents that handle inquiries and collections in Najdi, Hijazi, and Gulf, and update your core banking system.
Trusted by the fastest growing financial services.
Interactive workflows
Real banking workflows,executed in real time.
Pick a workflow and talk to the agent in your own dialect, then watch it check your systems and complete the request on the call.
Talk to the Application Status
Khaled · English · checks application status
Caller asks where their finance application stands. The panel shows the record found, status "Under review".
Why Sarj
The calls that hurtmost go unanswered.
Banks lose customers and collections in the gap between peak call volume and the team available to answer it.
Recovery Bottlenecks
Human call centers struggle to scale polite, dialect-native outreach for 30-to-60-day overdue accounts.
High Operating Costs
Routine tier-1 inquiries drain expensive contact center budgets that belong on high-value advisory.
Dialect Mismatch
English-first bots misread Najdi and Hijazi callers, turning simple requests into transfers and repeated details.
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.