How to Improve Quality Assurance in a Call Center: 15 Proven Strategies for 2026

How to Improve Quality Assurance in a Call Center

Improving quality assurance in your call center requires a systematic approach combining clear metrics, AI-powered automation, continuous coaching, and omnichannel monitoring.  The most effective strategy focuses on monitoring 100% of conversations with automated scoring while providing agents with real-time feedback and developmental support This … Read more

What is Conversation Intelligence: How It Works, Benefits and Applications

What is conversation intelligence

What is conversation intelligence? Conversation intelligence is AI-powered technology that automatically transcribes and analyzes voice conversations to extract measurable business insights.  This technology transforms sales calls, customer service interactions, and team meetings into structured data you can search, analyze, and act upon.​ Unlike traditional … Read more

How to Automate Call Quality Monitoring?

How to Automate Call Quality Monitoring | Enthu.AI

A. What is automated call quality monitoring? Automated call quality monitoring uses AI to evaluate customer interactions without manual intervention. The system transcribes calls, analyzes conversations, scores agent performance, and identifies coaching opportunities automatically.​ Unlike traditional methods that review 2-5% of calls, automation evaluates … Read more

AI Agent for Call Centers: The Complete Guide to Automation, CX & Efficiency

AI agent for call center

Quick Summary AI agents are revolutionizing call centers by automating routine tasks, improving customer experience, and boosting agent productivity. They handle voice and chat interactions 24/7, reduce operational costs by up to 30%, and enable human agents to focus on complex issues. This guide … Read more

How can sentiment analysis be used to improve customer experience?

Sentiment analysis in customer experience

A. What is sentiment analysis in customer experience? Sentiment analysis is the process of using Natural Language Processing (NLP) and Machine Learning (ML) to interpret emotional tone in customer interactions. It automatically classifies text or speech as positive, negative, or neutral while detecting nuanced … Read more

Customer Conversation Analytics: Transform Contact Center Performance with AI-Powered Insights

Customer conversation analytics

Today’s customers reach out via calls, chats, emails, social media and more, making it hard to see the big picture. Only a handful of interactions get reviewed and agents juggle multiple systems for CRM, telephony, and chat.  The result? Frustrated agents, missed issues, and … Read more