Stentor for Insurance
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 Insurance
Insurance operations run on conversations — claims calls, complaint handling, policy explanations — and every one of them carries regulatory weight. Stentor analyses 100% of your calls, not a sampled subset, transcribing and diarising each conversation, scoring it for quality, and surfacing complaints, negative sentiment, and compliance risk automatically. Deployed in a single-tenant private cloud with no data egress, Stentor gives your teams the evidence they need to handle disputes fairly, satisfy regulators, and catch fraud signals before they escalate.
Why Insurance Teams Choose Stentor
Analyse every claims and complaints call — not a random sample — so no high-risk interaction goes unreviewed and no compliance gap goes undetected.
Build a defensible, timestamped audit trail for regulators that documents fair handling of every claim and complaint from first contact to resolution.
Detect fraud signals and negative sentiment automatically, giving Special Investigations Unit teams structured leads before disputes reach formal or legal stages.
Score agent compliance automatically against your own policy rules and disclosure requirements, reducing manual QA effort without removing human judgement from the process.
Handle the mixed Azerbaijani and Russian speech common in local contact centres accurately with purpose-built speech-to-text, eliminating manual transcript correction overhead.
Keep sensitive policyholder data entirely within your own single-tenant private cloud infrastructure, with no data egress to shared environments or third-party services.
What Stentor Delivers for Insurers
100% Call Coverage
Every inbound and outbound call is transcribed, speaker-diarised, and scored. Sampling leaves gaps; Stentor closes them, ensuring no claims dispute or complaint call is missed.
Complaint and Risk Detection
Automated detection of complaint language, negative sentiment, and compliance risk flags conversations that need immediate attention, so your quality and compliance teams can prioritise effectively.
Hybrid QA Scoring
Scores combine rule-based checks — did the agent read the required disclosure? — with semantic AI understanding of context, and allow human supervisors to override any score, keeping your team in control.
Fraud Signal Identification
Stentor surfaces linguistic patterns and sentiment shifts associated with potentially fraudulent claims calls, giving your Special Investigations Unit structured leads rather than hours of raw audio.
Azerbaijani and Russian Speech Support
Purpose-built speech-to-text handles the mixed AZ/RU conversations typical in Azerbaijani insurance contact centres, delivering accurate transcripts without manual correction overhead.
Single-Tenant Private Cloud
Your call data never leaves your environment. Stentor is deployed as a dedicated single-tenant instance, satisfying data residency requirements and giving your information security team full visibility.
How Stentor Works in Your Insurance Operation
Frequently Asked Questions
Does Stentor really analyse every call, or is there a practical upper limit?
Stentor is designed for 100% call coverage with no sampling cap. Every call your contact centre handles — regardless of volume — is transcribed, scored, and stored within your private cloud instance, so there is no ceiling beyond which calls go unreviewed.
How does Stentor help us meet regulatory requirements for complaint handling?
Stentor automatically detects complaint language and flags the relevant calls, creating a timestamped, searchable record of how each complaint was handled from the moment it was raised. This gives compliance teams the documented evidence regulators expect when auditing fair treatment of customers, without requiring manual call selection or retrospective review.
Our agents switch between Azerbaijani and Russian mid-call. Will transcription still be accurate?
Yes. Stentor's speech-to-text engine is purpose-built to handle mixed Azerbaijani and Russian speech, which is common in local contact centres. It produces accurate transcripts without requiring calls to be conducted in a single language or agents to follow a fixed linguistic pattern.
Can our QA team still apply their own judgement, or does the AI make all the decisions?
Human judgement is a core part of the process, not an afterthought. The hybrid QA scoring model combines rule-based compliance checks with semantic AI scoring to produce an initial assessment, but supervisors can review any call and override any score at any time. Stentor is designed to support your team's expertise, not to replace it.
How is sensitive policyholder data protected within Stentor?
Stentor is deployed as a single-tenant private cloud instance within your own infrastructure. No call audio, transcript, or derived data is transmitted to shared environments or external services at any point. Policyholder data remains under your direct control, satisfying both internal information security requirements and applicable data residency obligations.
Ready to Bring Every Call into Compliance View?
Talk to the Allmaz team about deploying Stentor in your insurance contact centre. We will walk you through a tailored demonstration using your own call scenarios.
Request a demo