This document discusses using artificial intelligence to help call center agents provide consistent, compliant customer experiences. It describes challenges with traditional training and knowledge systems in capturing complex logic and applying it accurately. Decision tree tools also have limitations. The document introduces CLEVVA, a platform that uses "virtual assistants" to capture expert logic and drive "call navigators" that guide agents. CLEVVA aims to help agents consistently ask the right questions, give the right answers and take the right actions to improve metrics like first call resolution, average handle time, and customer satisfaction. Case studies show impacts like reducing training time and call backs.
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