Every conversation reviewed, not a two-percent sample.
Voice IntELIEgence transcribes the call, works out who said what, reads sentiment and topic as it goes, and scores the whole thing against the rubric your QA team already uses.
- Speaker personas
- Rubric grading
- Topic & sentiment analytics
What it does
Speech in, evidence out.
Transcribes with the audio attached
Turns are time-coded against the recording, so any line in the transcript plays back the moment it came from rather than being taken on trust.
Knows who was speaking
Enrolled personas attribute turns to the right speaker, so coaching notes and quality scores land on the right person.
Scores against your rubric
Your existing scorecard, with its own weightings, applied to every conversation — not to whichever handful someone found time to review.
Use cases
Where teams point it first.
- 01
QA reviews a small sample of calls and coaching is argued from anecdotes.
Every conversation is scored on the same rubric, so a trend is something you can point at instead of something you sense.
- 02
A complaint arrives about a call that happened three weeks ago.
The transcript, the speaker attribution and the audio are together in one place, with an audit trail of any edit.
- 03
Nobody can say which topics are actually driving contact volume.
Topics and sentiment are read as the conversation is processed, so volume and mood become a chart rather than a guess.
- 04
Quality data lives in a spreadsheet that someone maintains by hand.
Scores and analysis export on a schedule to the system that already runs your reporting.
How to use it
Four steps from first recording to a trend line.
- /elie-voice/new
Create a voice app
One app per conversation type — collections calls behave nothing like new-business calls, and they shouldn't share a rubric.
- /personas · /grading
Describe the speakers and the scorecard
Name who you expect on each side of the call, then paste in the rubric your QA team already argues about. Weight the criteria that matter.
- /conversations
Feed it conversations
Upload recordings or connect your telephony store through IntELIEKonnect. The pipeline reports progress per conversation, and failures stay visible.
- /topics-sentiment · /analytics · /export
Read the trend, then send it on
Score distribution by team, topic volume over time, sentiment against outcome. Export the whole thing when someone asks for it in a spreadsheet.
Works well with
Back to the platformSend us one recorded call and your scorecard.
We'll transcribe it, attribute the speakers and grade it against your own rubric — then show you what the same thing looks like across a month.