Accuracy is only one metric in a production AI system's health story. AIRE — AI Reliability & Observability — is the engineering discipline that captures the full signal surface of AI systems in production: quality drift, latency profiles, trust signals, and cost attribution. This guide walks solution architects and CTOs through the complete production architecture, from telemetry collection through hyper-scale processing, with real-world component design, failure resilience patterns, and a maturity model for building AI observability that turns production data into a continuous improvement engine.ShareArtifactsDownload allAire production systemsDocument · MD