Use cases · Stentor

Monitor compliance risk in calls

Monitor compliance risk in calls with Stentor: a practical, on-prem approach built for Azerbaijani teams.

Automated Compliance Risk Monitoring Across Every Call

Compliance teams can no longer rely on reviewing small, random samples of calls and hoping the remaining volume is clean. Stentor eliminates these blind spots by analyzing 100% of your call traffic, transcribing, diarizing, and scoring every single conversation. By automating the detection of complaints, negative sentiment, and compliance risks, the system ensures that critical issues surface immediately, allowing your team to intervene before risks escalate into serious operational or legal problems. Engineered specifically for the local market, Stentor features a purpose-built Azerbaijani speech-to-text engine that natively handles mixed Azerbaijani and Russian conversations. To meet the highest security standards, the platform operates within a single-tenant private cloud architecture. This ensures that all sensitive voice data remains within your controlled environment with no data egress, providing a secure and scalable foundation for rigorous quality assurance.

Capabilities

Why Compliance Teams Choose Stentor

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Total Call Visibility: Eliminate sampling gaps by analyzing 100% of conversations, ensuring no compliance breach goes unnoticed.

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Proactive Risk Mitigation: Automatically flag complaints and negative sentiment to prioritize high-risk calls for immediate human review.

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Native Bilingual Accuracy: High-precision transcription for Azerbaijani and mixed AZ/RU speech, reducing errors in compliance documentation.

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Absolute Data Sovereignty: A single-tenant private cloud ensures your data never leaves your environment, meeting strict residency requirements.

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Defensible QA Scoring: A hybrid approach combining rule-based logic, semantic AI, and human overrides for transparent, auditable results.

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Operational Efficiency: Automated diarization and transcription remove the manual burden of call preparation, accelerating the review cycle.

Core Capabilities for Compliance Oversight

100% Call Analysis

Every call is transcribed, speaker-diarised and scored — no sampling gaps that leave risk hidden in unreviewed conversations.

Compliance Risk Detection

Stentor automatically detects signals of compliance risk, complaints and negative sentiment across the full call volume, surfacing cases that need human attention.

Purpose-built Azerbaijani Speech Recognition

The speech-to-text engine is designed for Azerbaijani and handles naturally occurring mixed AZ/RU conversations, reducing transcription errors that undermine compliance reviews.

Single-tenant Private Cloud

Your call data is processed and stored within your own dedicated environment. No data egress means sensitive customer conversations never leave your control.

Hybrid QA Scoring

Scores are produced by combining rule-based criteria, semantic AI understanding and the ability for human reviewers to override — giving compliance teams a transparent, auditable process.

The Stentor Compliance Workflow

1Calls are ingested into your single-tenant private cloud environment as they complete — no manual upload required.

2Stentor transcribes each call and separates speakers through automatic diarisation, producing a clean, readable record of every conversation.

3The hybrid scoring engine applies rule-based compliance checks and semantic AI analysis simultaneously to identify complaints, negative sentiment and policy risk.

4Flagged calls are prioritised in the review queue so compliance officers spend their time on the conversations that carry the highest risk.

5Human reviewers can confirm, adjust or override any score, and their decisions feed back into the system to improve future scoring accuracy.

6Aggregated results give compliance managers a clear picture of risk trends across the full call population — not just the cases that were manually reviewed.

Compliance Monitoring FAQ

Does Stentor really analyse every call, or is there still sampling involved?

Stentor analyzes 100% of your calls. Unlike traditional QA methods that rely on random sampling, every single conversation is transcribed, diarized, and scored to ensure total visibility.

How does the system handle agents who switch between Azerbaijani and Russian?

The speech-to-text engine is purpose-built for the Azerbaijani market and is specifically designed to handle mixed AZ/RU speech within a single conversation, maintaining accuracy across language shifts.

How is data security handled for organizations with strict residency requirements?

Stentor is deployed in a single-tenant private cloud. This means your call recordings and transcripts are processed and stored in your own dedicated environment with no data egress to external infrastructure.

Can human reviewers correct the AI's scoring decisions?

Yes. Stentor uses a hybrid QA model where human judgment is the final authority. Reviewers can override any AI-generated score, and these overrides are logged to maintain a transparent audit trail.

What specific risks and signals can Stentor detect automatically?

The system is configured to identify complaints, negative sentiment, and specific compliance risk indicators. These rule sets can be further aligned to match your organization's specific regulatory and policy requirements.

Gain Full Visibility Into Your Compliance Risk

Talk to the Allmaz team to learn how Stentor can be deployed in your environment and configured for your compliance requirements.

Request a demo