Echo AI (Calabrio / Verint)

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Overview

GenAI conversation intelligence that analyzes 100% of customer interactions across voice, chat, tickets, and reviews — now part of Calabrio ONE and the Verint CX Automation Platform.

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Best For Professions:

customer service managers sales professionals marketing analysts business strategists quality assurance specialists

Echo AI (formerly Pathlight) is a generative-AI-native conversation intelligence platform that analyzes customer interactions across phone calls, digital chats, emails, tickets, surveys, and reviews. It automatically scores agent and bot performance, surfaces trending topics and sentiment, flags compliance issues, and turns raw interaction data into coaching alerts, QA dashboards, and actionable insights for supervisors and business leaders. Calabrio acquired Echo AI in December 2024 to strengthen its workforce performance suite with near-real-time CX intelligence. Calabrio ONE — now part of the Verint CX Automation Platform following the 2026 merger — combines this conversation intelligence with workforce management, quality management, interaction analytics, and personalized agent coaching in one connected contact-center platform.

Autonomy level

82%

Reasoning: Echo AI demonstrates high autonomy through its generative AI-native platform that automatically analyzes 100% of customer interactions across multiple channels (calls, tickets, surveys) using domain-specific LLMs without requiring manual configuration. The system autonomously detects trends, generates insights through conversational interfaces in n...

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Some of the use cases of Echo AI (Calabrio / Verint):

Automatically evaluating 100% of voice, chat, and digital interactions instead of manual QA sampling.
Surfacing trending customer issues, sentiment shifts, and compliance risks from conversation data.
Coaching agents with AI-generated performance insights and interaction summaries.
Connecting conversation intelligence to workforce scheduling and quality management.
Optimizing both human and bot performance in hybrid contact-center environments.

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