CallN

This feature utilizes dual-channel AI to convert voice conversations into searchable text data with high accuracy. It allows managers to analyze interactions without manual listening, enabling the identification of specific keywords and topics that drive customer behavior.

Advanced machine learning algorithms evaluate the tonality and language of both agents and customers to provide instant sentiment scoring. This provides objective insights into the customer experience, helping supervisors identify coaching opportunities and detect potential churn risks before they escalate.

The platform includes a customizable rules engine that enables trigger-based alerts and automated tagging for efficient workflow management. This allows call centers to autonomously flag compliance risks or high-value leads, significantly reducing the administrative burden on team leads and supervisors.

This technology enables agents to tag calls using predefined keystrokes, significantly enhancing workflow automation. It triggers specific actions like sending emails or starting and pausing recordings, ensuring that critical call segments are captured while maintaining operational flexibility during customer interactions.

This feature enables managers to filter and categorize calls by configuring handsets at individual or group levels. It allows for hierarchical management settings, universal or department-specific reporting, and automated call tagging, streamlining the organization of data across the entire organization.