Stentor for Telecom
AI speech analytics that transcribes, scores quality, and detects complaints and risk across 100% of your calls — in your own private cloud.
Full-Coverage Speech Analytics Built for Telecom
Telecom operators in Azerbaijan manage millions of subscriber calls every month, navigating demanding service-quality SLAs, persistent churn pressure, and conversations that shift fluidly between Azerbaijani and Russian within a single interaction. Stentor is an AI speech analytics platform purpose-built for this operational reality: it transcribes, diarises, and scores every single call without exception, detecting complaints, negative sentiment, and compliance risk across the full volume of your contact-center traffic — all processed within your own single-tenant private cloud so sensitive subscriber data never leaves your infrastructure perimeter.
Why Telecom Operators Choose Stentor
Eliminate blind spots entirely by analysing every call rather than a random sample, ensuring no complaint, compliance breach, or churn signal goes undetected regardless of daily call volume.
Meet service-quality SLAs with confidence through objective, consistent scoring applied uniformly across all agent interactions, removing the subjectivity and inconsistency of manual spot-checking.
Reduce subscriber churn by identifying dissatisfied customers early through automated complaint detection and negative-sentiment flagging, enabling proactive intervention before issues escalate.
Handle real subscriber conversations natively with a purpose-built Azerbaijani speech recognition engine that accurately processes mixed AZ/RU dialogue without accuracy loss or manual transcript correction.
Keep sensitive subscriber data fully within your own infrastructure through single-tenant private cloud deployment with zero data egress, directly supporting data-residency obligations and internal governance policies.
Adapt quality standards to your business with a hybrid QA workflow that combines rule-based compliance checks, semantic AI scoring, and human override — delivering automation at scale without removing QA team judgment where it matters most.
What Stentor Delivers
100% Call Coverage
Every subscriber interaction is transcribed, speaker-diarised, and scored automatically — no sampling, no gaps, no manual cherry-picking of calls to review.
Purpose-Built AZ/RU Speech Recognition
Stentor's speech-to-text engine is designed specifically for Azerbaijani and handles the mixed Azerbaijani-Russian code-switching common in real subscriber conversations, delivering accurate transcripts without manual correction overhead.
Complaint & Risk Detection
Automated classifiers flag calls containing complaints, negative sentiment, or compliance risk in real time, allowing supervisors to prioritise follow-up and prevent escalations before they affect SLA metrics or churn rates.
Hybrid QA Scoring
Quality scores are generated by combining rule-based criteria, semantic AI evaluation, and optional human override — giving you the consistency of automation with the judgment of your QA team where it matters most.
Single-Tenant Private Cloud
Stentor runs in a dedicated environment within your own infrastructure. Subscriber data never leaves your perimeter, supporting regulatory obligations and internal data-governance policies without compromise.
SLA & Performance Dashboards
Aggregate quality scores, complaint trends, and agent performance metrics are surfaced in dashboards designed for telecom operations, giving team leads and management the visibility they need to act on SLA commitments.
How Stentor Works in Your Contact Center
Frequently Asked Questions
Does Stentor really analyse every call, or is there a practical volume limit?
Stentor is engineered to process 100% of call volume with no sampling at any stage. The platform scales within your private cloud environment to match your actual call throughput, so full coverage is maintained as volume grows rather than degrading to a sampled subset.
How accurately does Stentor handle conversations where a subscriber switches between Azerbaijani and Russian mid-call?
The speech recognition engine is purpose-built for Azerbaijani and trained specifically on the mixed AZ/RU code-switching patterns common in real subscriber interactions. It produces a single coherent transcript regardless of how frequently or abruptly language switches occur within the same call, without requiring post-processing corrections.
Our subscriber data is subject to strict data-residency requirements. How does Stentor address this?
Stentor is deployed as a single-tenant private cloud instance within your own infrastructure. No audio recordings, transcripts, or associated metadata are transmitted to any external service or shared environment, giving you full control over data residency and supporting compliance with applicable regulatory obligations.
Can our existing QA team stay involved, or does Stentor replace human reviewers?
Stentor is designed to augment your QA team, not replace it. The hybrid scoring model means supervisors can apply a human override on any call at any time. The platform also surfaces the highest-priority interactions for human review automatically, so your team concentrates its effort on the calls where experienced judgment has the greatest impact on quality outcomes.
What does the integration process look like, and will it disrupt live operations?
Stentor ingests audio directly from your existing telephony or call-recording infrastructure, so no changes to agent-facing workflows are required. Allmaz works alongside your technical team during onboarding to establish the connection to your call sources, with the process structured to minimise disruption to live contact-center operations throughout.
Ready to See Every Call Clearly?
Talk to the Allmaz team about deploying Stentor in your contact center — and start turning 100% of your subscriber conversations into actionable quality and retention intelligence.
Request a demo