Use cases · Stentor

Reduce call handling time

Reduce call handling time with Stentor: a practical, on-prem approach built for Azerbaijani teams.

Optimize Call Handling with Stentor

Every minute an agent spends on a call represents a direct operational cost to your contact center. Stentor is an on-premises conversation intelligence platform purpose-built for Azerbaijani teams, designed to eliminate the inefficiencies of manual monitoring. By automating the transcription, diarisation, and scoring of every single conversation, Stentor transforms raw audio into actionable data, allowing supervisors to move away from tedious manual sampling and toward targeted, high-impact coaching. Unlike traditional quality assurance that relies on a fraction of total volume, Stentor provides 100% call coverage. This comprehensive visibility ensures that no compliance risk or customer complaint goes unnoticed. By surfacing the specific behaviors and friction points that drive up average handle time, Stentor empowers your leadership to refine scripts and improve agent performance, ultimately reducing costs while enhancing the customer experience.

Capabilities

Operational Advantages

Eliminate blind spots with 100% call analysis, ensuring every interaction is monitored for quality and compliance.

Accelerate supervisor workflows by using automated scoring to prioritize high-risk calls and reduce manual review queues.

Mitigate churn through automated detection of negative sentiment and complaints, enabling rapid resolution.

Ensure high transcription accuracy for local markets with native support for Azerbaijani and mixed Azerbaijani-Russian speech.

Maintain total data sovereignty via a single-tenant private cloud deployment that prevents any data egress from your infrastructure.

Achieve fair and nuanced evaluations using a hybrid scoring model that blends rule-based logic, semantic AI, and human oversight.

Core Capabilities

100% Call Analysis

Stentor processes every call rather than relying on random sampling. This gives quality teams a complete picture of agent performance and customer experience without gaps.

Transcription and Speaker Diarisation

Each call is automatically transcribed and separated by speaker, making it straightforward to review exactly what was said, by whom, and when — without replaying full recordings.

Purpose-Built Azerbaijani Speech-to-Text

The speech recognition engine is designed specifically for Azerbaijani and handles natural code-switching between Azerbaijani and Russian, the reality of most local contact center calls.

Complaint, Sentiment and Compliance Detection

Stentor automatically detects complaints, negative sentiment, and potential compliance risks within transcripts, so supervisors can prioritise the conversations that carry the most operational or regulatory weight.

Hybrid QA Scoring

Quality scores combine rule-based criteria, semantic AI understanding, and the ability for human reviewers to override — ensuring scores are consistent, explainable, and fair.

Single-Tenant Private Cloud

Stentor runs entirely within your own infrastructure. No call data, transcript, or score is sent to an external service, supporting data residency requirements and internal security policies.

The Path from Audio to Insight

1Calls are ingested directly from your telephony platform into Stentor's private cloud environment — no audio leaves your infrastructure.
2The purpose-built speech-to-text engine transcribes each call and separates agent and customer speech, handling Azerbaijani, Russian, and mixed-language conversations.
3Automated analysis scans every transcript for complaints, negative sentiment, compliance risk indicators, and quality criteria.
4The hybrid scoring engine applies rule-based checks and semantic AI evaluation, then presents scores to supervisors who can review and override where needed.
5Supervisors use the prioritised queue of flagged calls to coach agents on the specific moments that drive longer handle times or customer dissatisfaction.
6Aggregated insights across 100% of calls inform team-level decisions on training, process changes, and script improvements.

Frequently Asked Questions

Does Stentor only analyse a sample of calls?

No. Stentor analyses 100% of calls. Every conversation is transcribed, diarised, and scored, removing the risks associated with random sampling.

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

Stentor features a speech-to-text engine purpose-built for the Azerbaijani market, specifically designed to maintain accuracy during natural code-switching between Azerbaijani and Russian.

Where is our sensitive call data stored and processed?

All data remains within your control. Stentor is deployed in a single-tenant private cloud on your own infrastructure, ensuring no audio, transcripts, or scores are sent to external services.

Can human supervisors override the AI-generated quality scores?

Yes. Stentor uses a hybrid QA model. While rule-based and semantic AI provide the initial scoring, human reviewers retain full authority to override scores to account for real-world nuance.

In what way does Stentor specifically help reduce call handling time?

Stentor identifies the exact patterns and friction points that lead to longer calls. By automating the discovery of these issues across 100% of calls, supervisors can provide targeted coaching that helps agents resolve queries more efficiently.

Deploy Stentor in Your Environment

Talk to the Allmaz team about a pilot deployment. We will show you how Stentor fits your existing telephony setup and what full call coverage looks like for your contact center.

Request a demo