AI Speech Analytics For Contact Centers

Maaz AI Powered Speech Analytics is a cloud based solution that helps organizations gain clear, practical insights from customer conversations in their contact centers. It is designed for enterprises that want to better understand what happens during calls and use that insight to improve service quality, agent performance, and compliance outcomes.

The platform analyzes recorded voice interactions and converts them into structured, searchable intelligence. Instead of relying on manual call sampling or subjective reviews, teams can automatically identify sentiment, customer intent, and key conversation moments that matter most. This allows supervisors and quality teams to focus on real issues rather than spending time reviewing calls at random.

Maaz Speech Analytics supports a wide range of contact center improvement initiatives. Quality teams can monitor agent performance more consistently, compliance teams can flag potential risks earlier, and operations leaders can spot trends that affect customer experience. By reviewing conversations at scale, organizations gain a more accurate view of how customers and agents interact across queues, campaigns, and time periods.

The solution is built for modern, enterprise contact centers, including environments based on Cisco and Webex technologies. Its cloud-based design allows organizations to enhance their existing contact center platforms without changing core workflows or processes. Insights are presented through clear dashboards and reports that are easy for both technical and non-technical stakeholders to use.

By applying AI to everyday customer conversations, Maaz AI-Powered Speech Analytics helps organizations reduce manual effort, improve consistency in quality monitoring, and make better, data-driven decisions across their contact center operations.