Drive better outcomes with real-time guidance

CallMiner Alert automatically notifies agents or supervisors based on customer interaction indicators. Customer behaviors are uncovered and used to drive action while a call is in progress to alter the course of an interaction and improve outcomes.

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Always-ready guidance for agents at the most crucial moments

UI Alert Main

Real-time intelligence for proactive agility 

CallMiner Alert delivers a level of proactivity that improves customer and agent experience. Dynamic insights help drive action to reduce customer issue escalations, resolve potential compliance risks, and recover from a negative customer interaction in real time.

Drive specific outcomes or alert management to issues in the moment

UIF Alert CXIntervention

In-the-Moment CX Intervention 

  • Identify at-risk customers in real time and take proactive steps to retain them
  • De-escalate emerging issues or automatically elevate to a supervisor to prevent formal complaints
  • Identify retention and upsell opportunities with dynamic suggestions 

UIF Alert OptimizeAgPerf

Optimize Agent Performance 

  • Direct agent attention with self-customizable alert thresholds
  • Provide agents next-best guidance in real time
  • Improve conversation response times and lower overall monitoring costs 

UIF Alert Compliance-Risk

Ensure Compliance & Mitigate Risk 

  • Automatically redact sensitive audio, text and transcription data in real time
  • Identify legal and script compliance, including timing of required disclosures with immediate resolution guidance 
  • Real-time supervisor visibility for in-the-moment intervention  

Key Features

Alerts by Category

Automated categorization allows for alert types customized for each kind of call to improve efficacy.

API-Driven Power

Integrate with existing agent desktops, CRM platforms, and other live monitoring applications.

Expands Across the Platform

Integrate with Eureka Coach to monitor real-time alerts in the interface and with Eureka Analyze for post-contact analysis using AI-powered scoring of transcribed audio.