Structured Data Extraction with AI

EmberQA supports structured data extraction across multiple channels, including customer call recordings, transcripts, emails, SMS messages, and written documents. Extraction templates can be run across scored call transcripts or imported documentation to classify contents and capture essential customer context.

AI post-analysis extraction, tagging, and document workflows are available as part of the EmberQA Pro plan at $89 per agent per month. The Pro plan provides unlimited usage of included extraction and classification features without usage-based overage fees.

Extraction templates are configured to target specific details from scored interaction records, documents, or call transcripts. These templates automate post-analysis classification, allowing quality teams to capture structured data points, verify CRM information, and turn qualitative conversation data into actionable records.

Yes. EmberQA supports standard ingestion and API setup, allowing structured data, quality scores, and automated alerts to connect with external customer relationship management platforms, ticketing software, webhooks, and internal operational dashboards.

Automated data extraction eliminates manual review tasks by capturing key data fields systematically from every conversation. This gives supervisors consistent visibility into customer trends, interaction outcomes, and policy adherence while flagging red-flag risks for immediate operational review.

Managers and reviewers receive free access to dashboards, transcripts, and reporting features. Paid agent seats are required only when an individual manager or reviewer undergoes scoring on their own customer interactions.