Outbound AI voice agents

Know exactly where your outbound bot loses the call.

Outbound AI agents fail in small, repeatable ways: a pause that is a second too long, a question asked twice, a corrected phone number that never sticks. VoiceLens grades every attempt so you can fix the prompt instead of guessing from a sample.

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.

Every attempt graded, not a sample

POST each transcript or recording as the call ends and get a health score with faults, latency and captured slots back for all of them.

Latency outliers against your own baseline

Per-turn response times are summarised as median, P95 and maximum and graded against the latency threshold you set in the rubric, so a slow release shows up as a spike, not as an anecdote.

Compare versions on one scorecard

Run the same rubric across agent versions or channels and see which one captures more slots with fewer faults before you roll it out.

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.

  • Dead air

    Silence long enough for the caller to wonder if anyone is there.

  • Question repetition

    The agent asks for something the caller already gave.

  • Agent latency

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

  • Context loss

    The agent forgets what was established earlier in the call.

  • Customer had to prompt

    The caller has to nudge the agent to continue or respond.

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.