Automated Call Summarization: Saving Time for Agents and Supervisors

In modern contact centers, agents and supervisors spend a significant portion of their day documenting calls, creating summaries, and updating CRM systems. These tasks are essential for maintaining accurate records,…

The Future of Call Analytics: AI Trends Contact Centers Shouldn’t Ignore

Introduction: The Evolving Role of Call Analytics Contact centers have always been central to customer experience, but the rise of AI is transforming how organizations analyze, act on, and optimize…

5 Ways AI Call Analytics Reduces Agent Burnout and Improves Retention

Contact centers are often high-pressure environments where agents handle a constant stream of customer interactions, manage complex issues, and meet strict performance metrics. This can lead to agent burnout—a critical…

Why Global BPOs Need Scalable AI Call Analytics for Quality Assurance

Introduction: The QA Challenge in Global BPOs Global BPOs manage high volumes of customer interactions across multiple languages, regions, and industries. Ensuring consistent quality, compliance, and agent performance in such…

Is Your Contact Center Ready for 100% Call Monitoring with AI?

Contact centers are evolving rapidly, driven by rising customer expectations, stricter compliance requirements, and the need for operational efficiency. Traditional quality assurance methods—such as sample-based call reviews—often leave gaps in…

Speech-to-Text Accuracy: The Foundation of Reliable AI Call Analytics

Introduction: Why Accuracy Matters AI call analytics is transforming contact centers by providing insights into customer interactions, agent performance, and compliance. However, the effectiveness of these analytics depends on accurate…