
EmberQA Voice Analytics for Contact Center QA
- AI scores every call against custom rubrics
- Searchable transcripts, recordings, and filters
- Flags privacy violations and escalation risks
Quality Assurance Standards
EmberQA delivers automated AI call tagging and post-call extraction designed for modern contact centers. By running configured extraction templates on scored call transcripts and customer interactions, our platform captures structured data, detects critical compliance risks, and provides actionable performance insights to help managers eliminate manual sampling and coach teams effectively.






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AI call tagging applies configured extraction templates to scored call transcripts and customer conversations. The system extracts structured information, categorizes discussion topics, flags compliance risks, and classifies key interaction details. This automation provides contact center managers with comprehensive quality oversight, searchable conversation records, and objective data across all handled interactions without requiring tedious manual post-call documentation.
Talk to our experts for custom solutions and tailored guidance.

Streamline quality assurance by scoring interactions, extracting transcript data, and tracking agent trends at scale.

Automate call evaluation against office-specific quality rubrics while validating captured conversation details.

Monitor policy conversations, ensure regulatory disclosure adherence, and alert supervisors to high-risk issues.
Talk to our experts for custom solutions and tailored guidance.
Eliminate limited manual sampling by automatically scoring and analyzing all customer calls and interactions with consistent quality rubrics.
Automatically identify high-risk interaction issues, privacy violations, improper advice, and escalation risks to trigger prompt supervisor review.
Transform interaction analysis into targeted coaching, customizable learning modules, and AI roleplay practice to improve agent performance.
Speak with our team to explore platform workflows, review supported interaction channels, and see how automated post-call tagging fits your QA needs.
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