QA 100% of Your Calls

Running a high-performing enterprise contact center comes with no shortage of challenges. When it comes to monitoring and improving the conversations happening within them, customer service leaders often grapple with: 

• Limited visibility into what’s driving call volume, often relying on incomplete or biased agent feedback.
• Manual, time-consuming QA processes that only allow for 2-5% of calls to be analyzed, leaving blind spots in understanding agent performance and call quality.
• Outdated technology that relies on keyword spotting and transcription, which fail to capture the full context of calls.

These challenges make it difficult to make data-driven decisions, improve agent performance, and deliver better customer experiences. 

Learn how contact center leaders are adopting the latest audio large language models (LLMs), like Replicant’s Conversation Intelligence, to gain full visibility into every customer conversation. See how mining audio-based insights from 100% of calls can help you radically improve your business processes, develop critical agent competencies, and implement AI automation to streamline your operations.