Manual QA scores a handful of calls a week. Stentor scores every conversation with configurable scorecards that combine rule-based checks, semantic AI and human override — so coaching is backed by real evidence.
Spreadsheet-based QA is sample-biased, inconsistent and weeks behind — a supervisor can only listen to a tiny slice of conversations. Stentor scores every call automatically against configurable scorecards, so quality is measured consistently across the whole team, and every score is tied back to the exact conversation that produced it.
Scores 100% of conversations automatically — no more sampling bias.
Hybrid scoring: deterministic rule-based checks plus semantic AI, so both scripted steps and nuanced behaviour are measured.
Human override keeps QA supervisors in control — validate or correct any AI score and add coaching notes.
Pinpoint weak areas per agent and back coaching with the real call evidence behind each score.
Consistent, auditable scorecards replace inconsistent manual judgement.
Manual QA can typically review only 1–3% of calls. Stentor scores 100% of conversations automatically and consistently, then lets your supervisors focus their time on the calls that matter.
Yes. Scoring is a hybrid of rule-based checks and semantic AI, and a human can always validate or override the result — the AI proposes, your team decides.
Each score is tied to the exact conversation and transcript it came from, so coaching and audits are backed by real evidence rather than opinion.
A purpose-built STT engine that transcribes and diarises every call, including mixed Azerbaijani/Russian speech.
Detect compliance risk across every conversation and keep the evidence trail regulators expect.
Detect negative sentiment and complaints across every call to catch churn signals early.
A single-tenant private cloud with no data egress — conversations never leave your infrastructure.
See the complete product: problem, features, how it works and deployment.
Book a walkthrough and we’ll show Stentor analysing real conversations — transcription, quality scoring, sentiment and compliance, end to end.