Arabic Conversation Intelligence
Turn every Arabic call recording into a churn insight
intella transcribes and analyzes MENA bank and telco calls, surfacing the exact moments that predict customer loss, in Arabic, dialects included.
Early access for MENA banks and telcos
of Arabic customer complaints are missed when standard tools do not recognize dialects
Source: intella internal pilot findings, 2025The Problem
MENA banks and telcos miss the signal
Every day, your contact center handles thousands of Arabic conversations. Customers complain in Khaleeji, describe frustration in Egyptian, and escalate in Levantine. Standard speech recognition is built around Modern Standard Arabic, the language of textbooks and news, rather than the Arabic your customers speak.
The clearest evidence of why customers leave remains trapped in recordings that most systems cannot read properly. Churn grows quietly. Product issues stay hidden for months. When CSAT finally shifts, those customers may already be gone.
How It Works
From call recording to churn intelligence in three steps
Upload call recordings
Connect through REST API, SFTP, or your CCaaS platform with Genesys, Avaya, or Amazon Connect.
Transcription by dialect
Our Arabic ASR engine detects the dialect first, then transcribes with 89-93% accuracy across Gulf, Levantine, Egyptian, and Moroccan variants.
Churn intelligence dashboard
Weekly reports highlight call patterns, phrases, and service moments most associated with cancellations for your CX team.
Platform Capabilities
What you need to read Arabic customer conversations
Dialect Recognition
Khaleeji, Egyptian, Levantine, Moroccan Darija, Sudanese, Iraqi, and more. The engine detects the dialect before transcription begins, keeping accuracy steady when callers switch during a conversation.
Churn Signal Detection
Phrase-level matching based on MENA contact center data spots cancellation intent, escalation signals, and competitor mentions before they appear in CSAT surveys.
Topic Extraction
Calls are categorized by reason, such as billing disputes, outages, or product confusion, without manual tags. See Arabic call-volume trends without a QA team reviewing recordings.
Agent Coaching Insights
Identify scripts and conversation patterns linked to churn, along with those that resolve complaints. Supervisors receive focused coaching data rather than average handle time alone.
Proof Metrics
Built for Arabic, measured on Arabic data
Accuracy across Gulf and Levantine dialects, based on our 10K-sample validation set
Supported Arabic dialect variants: Khaleeji, Egyptian, Levantine, and Moroccan Darija
Weekly analyst time saved on call review, based on early-access data from 5 MENA contact centers
Customer testimonial
Before intella, we could not tell what Arabic-speaking customers meant when they called to cancel. Now we can, and we resolved two product issues behind 30% of our churn.