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Nivision
Use case

Quality assurance on every call, not a sample.

Manual QA reviews a handful of calls a week and hopes they are representative. Nivision scores and audits every conversation, automatically - so quality and compliance stop being a sampling exercise.

Automated QA & compliance

Sampling misses what matters.

A typical QA team listens to two or three percent of calls. The problem call - the missed disclosure, the mishandled objection, the agent quietly drifting off-script - is almost always in the ninety-seven percent nobody hears. By the time a pattern surfaces, it is already a liability.

AI call transcription & analysis platform

Score and check every conversation.

Nivision runs every call through a classifier built for your QA criteria. Each call gets a structured score, extracted custom fields and an automatic compliance check against the disclosures and steps you require. Alerts fire the moment a call fails a rule, and aggregate reports show where quality is trending - across the whole floor, not a sample of it.

01

Classifier-driven scorecards

Define your QA criteria once as a classifier - every matching call is scored automatically against it.

02

Compliance checks on 100% of calls

Required disclosures and process steps are verified on every conversation, not a weekly sample.

03

Instant fail alerts

A missed disclosure or a low score raises an in-system alert with full context the moment it happens.

04

Audit-ready records

Every call carries its transcript, score and extracted fields - a defensible record with no extra work.

Automated QA & compliance

The outcome

  • Compliance verified on 100% of calls, not 2-3%
  • Risk caught in hours, before it becomes a pattern
  • QA teams freed from manual review to focus on coaching
Get started

Turn your conversations into action.

See Nivision analyze calls like the ones your team handles every day. A 30-minute walkthrough, no slides.

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