Conversational IVR from definition to business impact | Decagon

This post details the technical implementation and business impact of conversational IVR, a new capability within the AI Support Agent Platform. It outlines the five-step sequence of conversational IVR (ASR, NLP/NLU, Dialogue Management, TTS, Continuous Learning), the intelligent routing mechanism with context transfer, and the importance of low latency. It also compares conversational IVR to traditional IVR, defines related terms like IVA and Conversational AI, and discusses business benefits such as higher containment and improved customer satisfaction. The implementation section highlights the importance of using real data, mapping conversational flows, configuring NLP/speech recognition, integrating with existing systems, and testing. Decagon's approach is described as a managed implementation where CX teams use AOPs for business logic while Decagon's engineers handle guardrails and integrations.