AI Quality Auditor
A supervisor gets through a handful of calls a shift, and the one that turns into a complaint is rarely in the handful. You set the sections, the weights and the pass mark; the model scores against them and returns a verdict with the sentence it scored on.
What gets read
read- Review is on for this workspace
- Review is on for voicemails
- Running on its own, not on request
- Longer than the 30 second floor
Product figures from the platform’s own defaults - not customer averages
How it works.
You write the scorecard
Sections such as Compliance, Opening, Discovery and Closing, each holding checkpoints of four kinds: scored out of ten, checklist yes, no or NA, critical pass or fail, and open-ended for the model to answer in prose.
Not just the calls somebody happened to open
Every call that matches, a number at random per agent per day, a share of the run, or every Nth call. Narrow it by campaign, queue, list, agent, disposition or length, on a cadence with a daily AI spend cap if you want one.
One critical miss ends the review
Checkpoints score, sections roll up to a weighted total against your pass mark, and a single critical failure sinks the review whatever that total came to. Coaching notes carry quotes, and a quote seeks the audio to the moment it came from.
Two speakers, kept apart
Agent and lead audio are split before any scoring runs, so a talkative lead cannot drag a score about agent behavior. Talk-time share, interruption count and longest monologue fall out of the same pass.
One moment in every call.
Every call passes through the same seven. AI Quality Auditor is the lit one, and everything either side of it is a different page in this category.
- 01Number
the line it arrives on or leaves from
- 02Route
where the call is sent and to whom
- 03Dial
placing it, and how many at once
- 04Connect
the moment a person picks up
- 05Talk
while the conversation is happening
- 06Wrap
the code, the notes, the next step
- 07Record
what is kept, and where it is kept
The specifics.
8 facts- Checkpoints
- Scored 0 to 10, checklist yes/no/NA, critical pass or fail, open-ended text
- Weighting
- Sections carry their own weight, and the pass threshold is yours to set
- Critical items
- One failure ends the review at fail, whatever the weighted total reached
- Versioning
- Saving cuts a new version; past reviews stay tied to the rubric that scored them
- Sampling
- Four rules: all matching calls, N random per agent per day, a percentage of the run, or every Nth
- Trends
- Section averages week to week, and open-ended answers grouped into repeat gaps
- Access
- A QA-reviewer role in the role tree, scoped by the sharing rules you already run
- Versus analysis
- Call analysis returns transcription, sentiment and a suggested code, no rubric
What runs alongside it.
Volume calling is several controls working at once, not one dial turned up. These are the others.
More in Outbound & Compliance
3 capabilitiesBroadcasting, voice AI, QA scoring, calling rules and number health.
Nobody dials and no seat is paid for while the list gets through. One message reaches all of it, a machine takes the drop, a keypress is the route to a human.
Nobody answers a number that says Spam Likely, and the label lands before anyone tells you. Spam and CNAM status per DID, a warm-up ramp, a rest threshold.
A mail tool cannot see how the call went, so it sends the next thing as though it never happened. Here the word a rep picks at hang-up chooses the next step.
The rest of the platform.
Five more categories, all on the same record and the same bill. Each card names three of its capabilities, so you can tell from here whether it is worth opening.
Outbound & Compliance
See ai quality auditor on your own floor.
Thirty minutes, your numbers and your data. We will set ai quality auditor up live and you can decide from the thing itself rather than from this page.
14-day trial · no card · migration included