Inbound support automation

Replace tier-1 support with AI without losing sight of quality.

An inbound bot that resolves eighty percent of calls is a win only if you can see the twenty percent it mishandled. VoiceLens flags the calls where the caller changed topic, corrected the agent or lost patience, and sends them where a person can act.

Free to start · Works with any call platform · Same rubric for bots and people

How VoiceLens helps

From transcript to a scorecard your team acts on.

Pivots and corrections, turn by turn

VoiceLens detects the moment a caller changes intent or corrects a detail and checks whether the agent followed, with the exact transcript turn as evidence.

Sentiment with a timestamp

Sentiment drops are graded per call and pinned to the turn they happened on, so you can read what the agent said right before.

Alerts and webhooks into your queue

Threshold alerts and signed webhooks fire on completed analyses, so calls under a health score land in your QA tool without anyone polling a dashboard.

Fault detection

What VoiceLens catches on these calls

Every fault is timestamped and pinned to the transcript turn it came from, for AI and human agents alike.

  • Missed pivot

    The caller changes topic or intent and the agent does not follow.

  • Missed correction

    The caller corrects a detail and the agent keeps the old one.

  • Sentiment drop

    Caller sentiment falls sharply mid-call, with the turn it happened on.

  • Context loss

    The agent forgets what was established earlier in the call.

  • Agent latency

    Slow replies after the caller finishes speaking, measured per turn.

See what your QA process has been missing.

Create a workspace, drop in a recording or a transcript, and read the first scorecard in minutes.