You review 2% of your calls. Voxalytics scores 100%.
Connect your call recordings and every conversation comes back scored on a 100-point rubric — with compliance flags, lead grades, coaching notes, and the exact reason you're losing deals.
The 98% problem
What's hiding in the calls you never hear?
A QA reviewer can cover about six calls an hour. Your team makes hundreds a week. Everything in the gap is invisible — until it becomes a problem with a date on it.
Compliance exposure
A rep guarantees returns, skips a disclosure, or pressures a close. If nobody heard the call, the first person to find it may be a regulator — or opposing counsel.
Revenue leaking silently
Deals die from weak closes, unhandled objections, and follow-ups that were promised and forgotten. Without call-level evidence, pipeline reviews are storytelling.
Coaching by anecdote
Managers coach the calls they happened to join. The rep who needs help most is usually the one whose calls nobody has time to hear.
AI Scorecard
Every call, graded the way your toughest QA manager would grade it
Minutes after a call ends, Voxalytics returns a 100-point scorecard against your own rubric — opening, discovery, pitch, scheduling, close, lead quality. With a letter grade, what went well, what went wrong, and the buyer signals your rep may have missed.
- Custom QA rubrics per department
- Buyer intent, churn risk, and agent energy on one screen
- One-click "send to agent" and flag-for-review
Team Performance
Stop guessing who needs coaching. The ranking is on one screen.
Every rep, ranked by QA score, sentiment, and the leads they actually produce — hot, warm, cold. Your top performer becomes the benchmark; the rep who is struggling shows up before their quarter does.
- Per-agent scorecards with section-by-section breakdown
- Hot / warm / cold lead attribution per rep
- Sentiment trends across weeks, not anecdotes
Compliance
Compliance flags that come with the receipts
When a rep promises guaranteed returns or skips a required disclosure, you get the rule broken, the severity, and the exact transcript excerpt — timestamped. Supervisors acknowledge each flag, so nothing dies in an inbox.
- Your rules, enforced on every call — not a 2% sample
- Transcript evidence attached to every flag
- Severity ladder with supervisor acknowledgment workflow
Revenue Intelligence
Know exactly why deals die — while you can still do something about it
Lost opportunities broken down by reason: competitor chose, price, timing, missing features. Weak closings, churn signals, and promised follow-ups are counted per rep — so pipeline reviews argue about fixes, not about what happened.
- "Why you're losing deals" ranked by frequency
- Weak closings and missed upsells surfaced per agent
- AI-predicted conversion probability on every call
Best Call Library
Your best calls become the training program
The AI curates standout calls — best close, best discovery, best objection handling — with coaching takeaways written out. New hires ramp on what "great" actually sounds like at your company, not a generic course.
- AI-selected exemplary calls by category
- Coaching takeaways extracted from each call
- Filter by department, category, and date
Org-Wide Signal
One dashboard your Monday meeting can run on
QA trend, sentiment, lead outcomes, open critical flags, and team energy — who is showing up energized and who is running on fumes — across every campaign and department, for any date window. Export the PDF and the meeting is prepped.
- Daily QA and sentiment trend across the org
- Team energy scoring from real call audio
- Campaign and department filters on everything
The math
Manual QA doesn't scale. The arithmetic is brutal.
Reviewing one call properly — listen, score, write notes — takes about ten minutes. Here's what full coverage actually costs in reviewer hours.
Manual review
167 hrs/mo
to score 1,000 calls at ~10 minutes each. That's a full-time reviewer doing nothing else — and most teams settle for a 2–5% sample instead.
- · Coverage: a sample, days later
- · Consistency: depends who reviews
- · Compliance: gaps you can't audit backwards
Voxalytics
Every call
scored within minutes of ending, against the same rubric every time. Your QA team stops sampling and starts coaching.
- · Coverage: 100%, same-day
- · Consistency: one rubric, applied identically
- · Compliance: every flag evidenced and acknowledged
30 minutes, on your calls — not a slide deck.
How it works
Live in days. Not a phone-system project.
01
Connect your calls
Upload recordings, sync from storage, or push via API and webhooks. WhatsApp threads come along for the ride. Nothing about how you make calls changes.
02
AI scores everything
Each call is transcribed and scored against your rubric — QA sections, compliance rules, sentiment, buyer intent, churn risk, and agent energy.
03
Coach and act
Rankings show who needs help; the best-call library shows them what good sounds like. Flags route to supervisors. Reports export for the Monday meeting.
Questions teams ask before the demo
Do we have to change our phone system?
No. Voxalytics analyzes recordings — upload them, sync from storage, or push them via API and webhooks from the stack you already run. WhatsApp threads are analyzed alongside voice.
How is the scoring rubric defined?
You start from an industry template (real estate, support, collections and more) and edit it per department — sections, weights, and rules are yours. The AI scores against your rubric, not a generic one.
What about our compliance rules specifically?
Compliance rules are configured per organization. Each flag includes the rule, severity, transcript excerpt, and a recommended action, with a supervisor acknowledgment trail for audits.
How fast do results come back?
Calls are typically scored within minutes of upload. Dashboards, agent scorecards, and flags update as each analysis completes.
The calls are already happening.
The only question is whether you hear them.
Calls you don't score today can't be audited tomorrow. Bring your own recordings to the demo and watch them come back scored.
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