Status Call Overload
Customers keep calling for claim updates, tying up agents who should be handling the complex cases.
INSURANCE & CLAIMS
Claims started on the call,not after the paperwork.
Sarj collects claim details by voice, chat, or photo, checks status in your systems, and shares the next step without data entry.
Trusted by the fastest growing financial services.
Interactive workflows
Real insurance workflows,executed in real time.
Pick a workflow and talk to the agent in your own dialect, then watch it collect details and update the claim on the call.
Talk to the Claim Intake
Khaled · English · opens a new claim
Caller reports an incident. Fields fill live on screen: name, policy number, claim type, date, amount.
Why Sarj
Claims stall long beforethey're reviewed.
Insurers lose days to manual intake, status calls, and retyped paperwork that agents could spend on complex claims.
Manual Data Entry
Handwritten forms, photos, and emails get retyped by hand, slowing every claim and inviting errors.
Missing Details
Incomplete submissions bounce back and forth because nobody can chase every customer for what is missing.
Dialect Gaps
Callers describe incidents in dialect mixed with English, which generic bots misread and force into transfers.
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.
Claims Automation
Taking first notice of loss by voice, around the clock, for a Saudi insurer
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
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.