Buyers reject transfers on quality grounds, which makes call quality billable revenue, not a soft metric. Voxjar scores 100% of your calls for qualification, script adherence, and TCPA-sensitive language, so the leads you deliver are the leads that get paid for.
Self-serve, no sales call required. Upload a real transfer call and watch it get scored.
Most industries treat call QA as a coaching tool. In lead generation it's the product inspection line. Every transfer, every booked appointment, every posted lead gets judged by a buyer who is actively looking for reasons not to pay. When qualification was thin, when the script wandered, when an agent promised something the offer doesn't deliver, the buyer's rejection report is where you find out, after the media spend and the agent minutes are already gone.
The floor makes this worse, not better. Hundreds of agents across shifts and sites means per-agent variance that no spot-check regime of a few percent can see. One team's script drift becomes next week's floor-wide habit. And because volume is the whole business model, compliance exposure compounds the same way: consent language that gets skipped on, say, one call in fifty is a rounding error at a small shop and a pattern a plaintiff's attorney can build a TCPA case on at yours.
Voxjar inspects every unit that leaves the floor. Each call is transcribed and scored against the campaign's own scorecard, every score carries the AI's reasoning and the transcript behind it, and the exceptions, the missed consent line, the transfer that shouldn't have happened, the disposition that doesn't match the conversation, surface the same day instead of on a buyer's rejection report.
Every campaign can run its own card with its own script, criteria, and weights. This is the shape most floors start from.
| Criterion | Why it's on the card |
|---|---|
| Consent and disclosure language present | TCPA exposure scales with dial volume; the required words either got said or they didn't |
| Qualification criteria met before transfer | Buyers reject on qualification first; an unqualified transfer is paid media with no payout |
| Script adherence, campaign by campaign | Script drift spreads shift to shift; a typical spot-check regime of a few percent sees it weeks after the floor learned it |
| No misleading or prohibited claims | One exaggerated promise can burn a buyer relationship the whole campaign depends on |
| Disposition matches what happened on the call | Bad dispositions poison your redial logic, your reporting, and your billing |
| Transfer and handoff handled cleanly | A warm lead that goes cold in the handoff still counts against your acceptance rate |
Build it, weight it, or replace it entirely; Voxjar applies your card to every call on the floor.
Catch thin qualification and mismatched intent before the transfer posts, not on the rejection report. When a rejection is wrong, the transcript and score are your evidence in the dispute.
Consent language, required disclosures, and prohibited claims get checked on every single call. Exceptions route to compliance through universal webhooks the same day, with glass-box reasoning attached to each flag.
Per-agent, per-shift, per-campaign scores across 100% of volume show you which behaviors convert and which agents drift, with human review, calibration, and dispute workflows built in so agents trust the numbers.
Unlimited users on every plan means agents, team leads, compliance, and clients can all see the scores that matter to them, without seat math.
"Having to just go through what AI has done and make sure it's okay versus having to answer those questions is the difference - the ability to do more in the same amount of time. That is the biggest difference that I found while using it."
Wendy Marriott, Operations Manager, Dead Ringers
Dead Ringers is a call review and mystery shopping firm in the death care industry that grades thousands of recorded calls for compliance and quality across high-volume floors like these. With Voxjar doing the first pass, their reviewers cover that volume three times faster.
Read how Dead Ringers reviews calls 3x fasterBecause by the time a buyer rejects a transfer, you've already paid for the media, the dial, and the agent minutes that produced it. Scoring the call before delivery means you catch the thin qualification or the missing consent language while it's still your problem to fix, not a chargeback on next week's invoice. It also gives you evidence when a rejection is wrong: the transcript and the score are right there.
You define the required consent and disclosure language in your scorecard, and Voxjar checks every call for it, flagging any conversation where it's missing or garbled. Every flag comes with the AI's reasoning and the transcript moment behind it, so compliance review starts from the exceptions instead of a random sample. The Voxjar platform holds SOC 2 compliance and is built to support HIPAA, GDPR, and PCI-DSS requirements.
Yes. Each campaign gets its own scorecard with its own script, qualification criteria, and required language. Voxjar applies the right card to the right calls automatically, so a Medicare campaign and a home-services campaign are never graded against each other's rules.
Evaluations typically run in batches right after calls end, so scores land while the lead is still fresh. Universal webhooks can push a failed compliance check or a weak qualification straight into Slack or your CRM, and real-time analysis is available for the cases that truly need it.
There is no per-seat pricing. Voxjar plans are priced by the volume of calls you analyze, with unlimited users on every plan, so every agent, team lead, and compliance reviewer can log in and see their own scores. Plans are published, start at $99/month, and there's no setup fee.
You need them more than ever, just not for listening to random calls. The AI does the first pass on 100% of volume; your people handle calibration, disputes, and coaching, all of which have workflows built into Voxjar. Reviewers stop hunting for problems and start resolving the ones the system already found.
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