How conversational AI components work together in customer service | Decagon

This post details the architectural patterns and interface contracts necessary for reliably wiring conversational AI components together, emphasizing the importance of system design over individual component quality. It introduces concepts like response validation, exponential backoff, confidence thresholds, and state persistence to prevent cascade failures and ensure resilience. The operational framework includes knowledge ingestion via a Unified Knowledge Graph, natural language configuration through Agent Operating Procedures (AOPs), and continuous learning loops driven by AI observability. The post highlights the challenges of voice AI integration and the need for strict latency contracts.