Listen to a sample.
- Small percentage of calls reviewed
- Inconsistent manual scoring
- Issues discovered late
- Limited audit evidence
- Managers spend hours searching
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Call Conversa listens to every customer call, creates an accurate transcript, scores it against your standards, flags risk, provides the evidence and routes important calls for human review and sign-off.
Mandatory disclosure omissions increased 18% this week. 47 calls require manager review.
Built for teams that need more than a transcript.
Traditional QA asks managers to listen to a tiny fraction of calls. Call Conversa turns every conversation into structured, reviewable quality data — so your team can focus attention where it matters most.
One workflow for listening, scoring, reviewing, coaching and improving.
Every score can be tied to the exact transcript evidence and audio moment that caused it, giving reviewers context instead of a black-box number.
Expected disclosure not detected before call close.
Approve, override, fail, escalate or assign coaching with a permanent audit trail.
Automatically separate ordinary calls from the conversations that require human attention.
Describe what a good call looks like. Turn policies and standards into measurable QA criteria.
Stop a high average score from hiding a serious compliance failure. One critical miss can trigger an automatic fail.
Measure agreement between your reviewers and Call Conversa so you can monitor scoring consistency over time.
Turn recurring weaknesses into targeted coaching and measure whether performance improves after intervention.
Transcription and generic AI scoring are becoming expected. Call Conversa is designed around assurance: evidence, accountability, risk prioritisation and continuous improvement.
Talk to us about your QA processAutomate coverage without removing managerial judgement from high-risk decisions.
Every important score can show the evidence, rule, reasoning and confidence behind it.
Managers spend time on unusual, risky and low-confidence calls — not random sampling.
Use industry-specific scorecards, terminology, critical-failure logic and reporting packs.
A simple operational loop designed for thousands of calls, not dozens.
Send call audio from your existing telephony or recording source.
AI creates the transcript and structures the conversation for analysis.
Evaluate the call against your QA, compliance and customer-experience criteria.
Pass routine calls and route uncertain or high-risk conversations for review.
Managers approve, override, escalate or assign an action with full history.
Spot patterns, coach teams and measure whether quality improves over time.
Call Conversa turns individual conversations into management insight. See emerging risks, recurring objections, coaching needs and quality trends without manually searching through calls.
Highest increase in the retention team.
One missing phrase accounts for most failures.
Discovery questioning is the strongest predictor of top scores.
Build sector-specific QA packs with preconfigured scorecards, language, critical-failure rules and reporting — so customers start with a system that understands their operation.
Disclosure, vulnerability, suitability, conduct and complaint indicators.
Needs, eligibility, policy explanations, exclusions and required disclosures.
Discovery, objection handling, next steps, conversion behaviours and coaching.
Resolution quality, empathy, process adherence, escalation and customer friction.
Plans are based on AI analysis minutes because a one-minute call and a one-hour call should not cost the same. Keep users and reviewers flexible while your usage scales with the conversations you process.
For smaller teams getting serious about structured call QA.
For growing teams that want continuous QA and manager accountability.
For regulated and higher-volume teams where QA risk really matters.
For complex contact centres, multiple business units and high-volume deployments.
Additional analysis minutes can be purchased as usage grows. Final allowances and overage rates should be calibrated against your average call duration and processing costs.
Call Conversa should be positioned against the time, risk and inconsistency of manual QA — not against the raw per-minute price of speech-to-text.
Keep your existing phone system. Add Call Conversa and give managers a clearer view of what is happening across every customer interaction.