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Stentor for Banking

AI speech analytics that transcribes, scores quality, and detects complaints and risk across 100% of your calls — in your own private cloud.

Speech Analytics Built for Azerbaijani Banks

Stentor is an AI-powered speech analytics platform engineered specifically for the operational and regulatory realities of banking in Azerbaijan. Deployed as a single-tenant private cloud entirely within your own infrastructure, it transcribes, diarises, and scores every call handled by your contact centre and collections teams — with no audio, transcript, or derived data ever leaving your perimeter. Its purpose-built Azerbaijani speech-to-text engine accurately processes the mixed Azerbaijani and Russian conversations that characterise real customer interactions, delivering the linguistic precision that generic transcription engines consistently fail to provide. The result is a complete, auditable record of 100% of conversations, giving compliance, quality, and risk teams the full visibility they need without any compromise on data sovereignty.

Capabilities

Why Banks Choose Stentor

Full data residency compliance — call audio, transcripts, and all derived data remain within your private cloud at all times, satisfying banking-secrecy obligations and Central Bank of Azerbaijan data-residency requirements without exception.

Complete call coverage with zero sampling gaps — every single conversation is analysed rather than a random subset, ensuring no compliance breach, complaint, or fraud signal goes undetected simply because it fell outside a manual sample.

Real-time complaint and risk detection — automated detectors flag negative sentiment, regulatory trigger phrases, and potential fraud indicators as calls are processed, giving compliance and risk teams the earliest possible opportunity to intervene.

Purpose-built Azerbaijani speech recognition — the underlying engine is designed for the linguistic reality of Azerbaijani banking calls, handling mid-sentence code-switching between Azerbaijani and Russian with the accuracy that general-purpose transcription tools routinely cannot achieve.

Defensible audit evidence — every transcript, QA score, and automated flag is timestamped and stored in structured, exportable formats, creating a complete evidence trail ready for internal audit cycles and regulatory examination.

Flexible hybrid QA scoring — rule-based script and disclosure checks, semantic AI assessment of tone and resolution quality, and supervisor human override work in concert, giving your quality team both the scale to cover all calls and the nuance to handle edge cases.

Core Capabilities

Private Single-Tenant Deployment

Stentor runs entirely within your bank's own infrastructure. There is no shared environment and no data egress to external servers, keeping you aligned with banking-secrecy rules and Central Bank of Azerbaijan data-residency expectations.

100% Call Transcription and Diarisation

Every call is automatically transcribed and speaker-separated. Support, collections, and advisory calls are all captured, giving supervisors and compliance officers a searchable, structured record without relying on random sampling.

Complaint and Compliance Risk Detection

Stentor continuously scans transcripts for complaint language, negative sentiment, and phrases associated with regulatory or fraud risk. Alerts are generated automatically so the right team can act before an issue escalates.

Azerbaijani and Russian Speech Recognition

The underlying speech-to-text engine is purpose-built for the linguistic reality of Azerbaijani banking calls, handling code-switching between Azerbaijani and Russian accurately — a common shortcoming of general-purpose transcription tools.

Hybrid QA Scoring

Quality scores combine rule-based criteria (script adherence, required disclosures), semantic AI assessment (tone, resolution quality), and human override. This layered approach gives quality managers both scale and nuance.

Audit-Ready Reporting

Structured dashboards and exportable reports provide timestamped evidence of agent conduct, complaint handling, and compliance adherence — formatted to support internal audit cycles and regulatory examinations.

How Stentor Works in Your Bank

1Stentor is deployed as a single-tenant instance within your bank's private cloud or on-premises environment — no external connectivity required for call data.
2Calls from your contact centre and collections platforms are streamed or batch-ingested into Stentor immediately after completion.
3The Azerbaijani speech engine transcribes and diarises each conversation, separating agent and customer speech with speaker labels.
4Automated detectors scan every transcript for complaint language, negative sentiment, fraud-related phrases, and required compliance disclosures.
5Each call receives a hybrid QA score combining rule-based checks and semantic AI evaluation; supervisors can review flagged calls and apply human overrides where needed.
6Compliance officers, quality managers, and risk teams access structured dashboards and exportable audit reports — all data remaining within your perimeter.

Frequently Asked Questions

Does Stentor send any call recordings or transcripts to external servers?

No. Stentor is deployed as a single-tenant private cloud within your own infrastructure. Call audio, transcripts, and all derived data do not leave your environment at any point in the processing pipeline, ensuring full alignment with banking-secrecy obligations and data-residency requirements.

How does Stentor handle the mix of Azerbaijani and Russian spoken on our calls?

The speech-to-text engine is purpose-built for Azerbaijani and is specifically designed to handle mixed AZ/RU conversations, including mid-sentence language switching that is common in Azerbaijani banking interactions. This purpose-built approach delivers the transcription accuracy that general-purpose engines are not designed to provide for this language pair.

We currently review only a sample of calls. Can Stentor realistically process all of them?

Yes. Stentor is built to analyse 100% of calls rather than a sampled subset. This complete coverage means every potential complaint, compliance breach, or fraud signal is reviewed — not only those that happen to fall within a manual sample — eliminating the blind spots that sampling inherently creates.

How is the QA scoring model kept aligned with our internal standards as those standards evolve?

Stentor uses a hybrid scoring approach in which rule-based criteria reflect your specific script requirements and mandatory disclosure obligations, semantic AI evaluates conversational quality such as tone and resolution, and supervisors can apply human overrides to any individual score. Your quality team defines, adjusts, and owns the rules, so the model stays current as your standards change.

Can Stentor output be used as evidence during a regulatory examination?

Stentor produces timestamped transcripts, QA scores, and automated flags in structured, exportable formats designed to support both internal audit cycles and formal regulatory review. Your compliance team retains full control over how, when, and to whom reports are shared, and all source data remains within your infrastructure throughout.

See Stentor in Your Environment

Request a private demonstration and find out how Stentor can give your compliance, quality, and risk teams full visibility across every call — without moving a single byte outside your bank.

Request a demo