Flag at-risk customers on calls
Flag at-risk customers on calls with Stentor: a practical, on-prem approach built for Azerbaijani teams.
Real-Time Risk Detection for Every Customer Call
When a customer becomes frustrated, uses non-compliant language, or a formal complaint begins to build, your team needs immediate visibility. Relying on manual spot-checks means critical issues are often discovered days after the interaction, leaving your business vulnerable to churn and regulatory risk. Stentor eliminates these blind spots by analyzing 100% of your contact center's calls, transcribing and diarizing every conversation to surface complaints, negative sentiment, and compliance risks in real time. Engineered specifically for the linguistic nuances of the Azerbaijani market, Stentor features a purpose-built speech-to-text engine that seamlessly handles mixed Azerbaijani and Russian conversations. To ensure maximum security, the system is deployed as a single-tenant private cloud, meaning your sensitive customer audio and transcripts never leave your controlled environment. This combination of deep linguistic intelligence and rigorous data privacy gives you total visibility into call quality without compromising security.
Why Organizations Choose Stentor for Risk Detection
Eliminate blind spots with 100% call coverage, removing the inherent risks associated with random sampling.
Enable rapid intervention by flagging risk signals automatically, allowing supervisors to act on live or recent calls.
Ensure high transcription accuracy with a speech-to-text engine purpose-built for Azerbaijani and mixed AZ/RU speech.
Maintain absolute data sovereignty via single-tenant private cloud deployment with no external data egress.
Achieve defensible quality audits through hybrid scoring that blends rule-based logic, semantic AI, and human overrides.
Optimize resource allocation by focusing human QA efforts on high-risk conversations rather than routine reviews.
How Stentor Identifies and Flags At-Risk Customers
100% Call Analysis
Stentor processes every call without sampling, so no at-risk interaction slips through because it was not selected for review.
Transcription and Speaker Diarisation
Each call is automatically transcribed and separated by speaker, giving reviewers a clear, searchable record of exactly who said what and when.
Complaint and Negative Sentiment Detection
Stentor identifies complaint language and negative sentiment patterns within conversations, flagging calls that warrant immediate attention.
Compliance Risk Scoring
Calls are scored against compliance criteria automatically, surfacing potential regulatory or policy breaches before they escalate.
Purpose-Built Azerbaijani Speech Recognition
The speech-to-text engine is designed for Azerbaijani and handles mixed AZ/RU speech, ensuring accurate transcription for the linguistic reality of your calls.
Hybrid QA Scoring
Scoring combines rule-based logic, semantic AI understanding and human override capability, so quality assessments are both consistent and adaptable.
The Workflow: From Audio to Actionable Risk
Frequently Asked Questions About Risk Detection
Does Stentor only review a sample of calls, or does it cover everything?
Stentor analyzes 100% of your calls. By eliminating sampling, the system ensures there are no gaps in coverage and no at-risk customers are missed simply because their call wasn't selected for a manual check.
Our agents switch between Azerbaijani and Russian mid-call. Will transcription still be accurate?
Yes. Stentor's speech-to-text engine is purpose-built for the Azerbaijani market and is specifically designed to handle mixed AZ/RU speech, which is common in local contact centers.
Where is our call data stored and processed?
Stentor is deployed as a single-tenant private cloud on your own infrastructure. This ensures that no audio, transcripts, or scores are ever sent to external servers or third-party environments.
How does the scoring system work, and can our QA team adjust it?
The system uses a hybrid model combining rule-based checks with semantic AI. To ensure the system remains aligned with your specific business standards, QA reviewers can apply human overrides to any scored call.
What specific types of risk does Stentor detect?
Beyond identifying explicit complaint language, Stentor detects negative sentiment patterns and compliance risks, providing supervisors with a comprehensive view of regulatory exposure and call quality.
Prevent Escalations with Full Call Visibility
See how Stentor can give your team complete visibility across every interaction without compromising your data privacy. Get in touch with Allmaz to arrange a demonstration.
Request a demo