AI Call Quality Assurance for Sales Teams

Every call scored.
Every issue owned.
Every fix verified.

Manual QA samples 2% of your sales calls and calls it coverage. ConvoBrains scores 100% of them automatically - surfacing lost revenue, compliance gaps, and coaching moments your team would otherwise never hear.

See how scoring works

No call recordings leave your existing telephony stack. Setup in under a week.

Live scoring1,842 calls scored today
Issue
Owner
Status

Pricing objection unaddressed

Call #4471 · 06:12

Rep A. Verma

Flagged

Discount disclosure missing

Call #4472 · 11:48

Rep S. Rao

Reviewing

Competitor mention - handled well

Call #4473 · 04:55

Rep K. Joshi

Resolved

Next-step commitment skipped

Call #4474 · 08:21

Rep A. Verma

Flagged

Syncs with 100+ tools

The coverage gap

QA teams sample 2% of calls. We listen to all of it.

0%

Conversation coverage, every call audited

0hrs

Manager review time saved per agent, weekly

−0%

QA cost vs. a manual review team

+0%

Conversion lift from closed-loop coaching

Built for every seat on the call

One scoring engine, four different views.

See exactly why a call scored the way it did.

Reps get a scorecard within minutes of hanging up - not a vague number, but the specific moments that helped or hurt the call.

  • Pricing objection handled before the 4-minute mark
  • Next-step commitment not requested by close
  • Talk-to-listen ratio within target range

Call Scorecard - #4471

Discovery → Pitch → Objection → Close

Discovery depth

Objection handling

Next-step commitment

Talk-listen ratio

Overall score: 78 / 100 · 1 follow-up suggested

Automated QA

Stop sampling 2% of calls and calling it quality assurance.

Every sales call gets transcribed, scored against your rubric, and routed automatically. Coverage that used to take a 12-person QA team now runs continuously in the background.

Coverage: Manual vs. Automated

Manual QA

ConvoBrains

2% sampled vs. 100% audited - every call, every day.

Sales Intelligence

Catch the objections costing you deals before they cost you a quarter.

ConvoBrains tracks which objections recur, how often reps handle them well, and which ones quietly correlate with lost deals - so your playbook updates itself from real conversations.

Objection Mentions - This Week

Pricing68
Timeline41
Competitor fit29
Integration concerns17

Marketing Feedback Loop

Close the gap between ad spend and what actually happens on the call.

Feed conversion-quality signals from every call back to your acquisition channels - so spend follows the campaigns producing calls that convert, not just calls that connect.

Call Quality by Source

Source quality trending up as low-intent channels are deprioritized.

Looking for a sales call QA alternative?

If you're evaluating call monitoring tools, here's how automated QA compares to manual review.

Teams searching for sales call QA software, AI call scoring, or an alternative to manual spot-checking usually land on the same question: does the tool just hand you a score, or does it actually close the gap between knowing what went wrong and fixing it.

DimensionManual QA / spot-checksConvoBrains
Call coverage1–5% sampled100% audited
Scoring consistencyVaries by reviewerSame rubric, every call
Time to feedbackDays to weeksMinutes after the call
Compliance audit trailManual notes, inconsistentTimestamped, automatic
Cost at scaleScales linearly with headcount~40% lower at comparable volume
Revenue insightAnecdotalQuantified, recurring report

What's the difference between call center QA software and conversation intelligence?

Call center QA tools are built to score conversations against a compliance or process rubric - script adherence, required disclosures, tone. Conversation intelligence platforms lean more toward deal analytics and pipeline signals. ConvoBrains Sales QA does both: every call is scored against your scorecard and rolled up into sales and revenue-level insight, so you're not running two separate tools.

Is automated call scoring accurate enough to replace manual review?

For coverage, yes - automated scoring evaluates 100% of calls against a consistent rubric, which manual review can't match at scale. Most teams keep a thin layer of manager spot-checks for calibration and high-stakes calls, while letting automation handle the volume.

How is this different from a generic call recording tool?

Recording and transcription are table stakes. The difference is what happens after: automatic scorecards, compliance flags, objection tracking, and a recoverable-revenue estimate generated without anyone having to listen to the call.

Does this work with our existing phone system?

Yes. ConvoBrains connects to your existing telephony or dialer setup rather than requiring a replacement, and call data stays within your existing infrastructure.

Executive view

What your leadership team sees, every Monday.

Top pain points this week

mentions up 12%
Pricing flexibility
82
Onboarding speed
54
Integration depth
39
Support response time
23

Competitor mention frequency

Competitor A
61
Competitor B
44
Competitor C
28

Security & compliance

SOC 2 Type 1AES-256 encryptionDPDP Act alignedIndia data residency
Free Revenue Recovery Audit

See what your last 100 calls are quietly costing you.

We'll score a sample of your recent sales calls and show you exactly where revenue is leaking - no commitment, no setup required on your end.

Talk to the team
Sales QA - AI Call Scoring | ConvoBrains | ConvoBrains