Transcribe 100% of your calls
Transcribe 100% of your calls with Stentor: a practical, on-prem approach built for Azerbaijani teams.
Complete Call Visibility: Transcribe 100% of Your Conversations
Traditional quality assurance workflows typically rely on reviewing a small, random fraction of recorded calls. This sampling approach creates significant blind spots, leaving critical customer complaints, compliance risks, and valuable coaching opportunities hidden within the vast majority of your data. Stentor eliminates these gaps by transcribing, diarising, and scoring every single conversation your team handles, ensuring that no interaction goes unanalysed. Engineered specifically for the regional linguistic landscape, Stentor leverages a purpose-built Azerbaijani speech-to-text engine that seamlessly handles mixed Azerbaijani and Russian dialogue. To ensure maximum security, the entire process operates within a single-tenant private cloud. This architecture guarantees that your sensitive voice data and transcripts remain entirely within your own environment, with no data egress to external parties.
Strategic Advantages for Your Contact Centre
Eliminate sampling bias by analysing 100% of call volume for total operational visibility.
Accelerate risk mitigation through automated detection of negative sentiment and compliance breaches.
Capture authentic interactions with high-accuracy speech recognition tailored for mixed AZ/RU speech.
Maintain absolute data sovereignty via a single-tenant private cloud with zero external data egress.
Implement a sophisticated hybrid QA model combining rule-based logic, semantic AI, and human oversight.
Establish a comprehensive, auditable archive of all agent-customer interactions for reporting and training.
Enterprise-Grade Call Intelligence
100% Call Transcription
Every recorded call is automatically transcribed — no manual selection, no sampling gaps. You get a complete, searchable text record of all agent-customer conversations.
Speaker Diarisation
Stentor separates agent and customer voices within each transcript, making it straightforward to review who said what and when throughout the call.
Complaint & Sentiment Detection
Automated analysis flags calls containing negative sentiment, expressed complaints or language that signals compliance risk, so supervisors can prioritise their review queues.
Purpose-Built Azerbaijani Speech-to-Text
The speech recognition engine is designed specifically for Azerbaijani and handles the mixed AZ/RU code-switching common in real contact-centre calls — without forcing agents to change how they speak.
Hybrid QA Scoring
Quality scores are produced by combining rule-based criteria, semantic AI evaluation and the ability for supervisors to override any score — giving you both consistency and human judgement.
Single-Tenant Private Cloud
Your call recordings and transcripts are processed in an isolated environment dedicated to your organisation. No audio or text is sent to shared infrastructure or external services.
The Path from Recording to Actionable Insight
Frequently Asked Questions
Does Stentor really analyse every call, or is there a practical limit?
Stentor is engineered to process 100% of your call volume. Unlike traditional QA tools, there is no built-in sampling cap; every recording is transcribed and scored to ensure total coverage.
How does the system handle code-switching between Azerbaijani and Russian?
The speech recognition engine is purpose-built for the local market. It natively handles mixed AZ/RU speech within a single conversation without requiring separate processing passes or manual language selection.
How is data security managed regarding our call recordings?
Security is handled via a single-tenant private cloud architecture. This means your audio, transcripts, and scores are processed in an isolated environment dedicated to your organisation, with no data egress to shared infrastructure.
Can human supervisors correct the AI-generated quality scores?
Yes. Stentor uses a hybrid scoring model specifically to allow for human judgement. Supervisors can apply a human override to any AI-generated score to ensure accuracy and nuance.
What specific risks can the automated analysis detect?
The system automatically flags negative sentiment, explicit customer complaints, and specific language patterns that indicate compliance risks, allowing managers to prioritise the most critical calls.
Uncover the Insights Hidden in Your Unreviewed Calls
Talk to the Allmaz team to arrange a demonstration of Stentor on a sample of your own call recordings — and find out what full coverage looks like for your contact centre.
Request a demo