AI observability involves monitoring and analyzing telemetry across various layers of technology to understand AI system behaviors in real-time. It ensures that AI-powered services remain reliable, performant, and cost-effective by providing insights into user interactions, orchestration, multi-step reasoning, model performance, and infrastructure health. End-to-end observability is crucial for managing complex AI systems, particularly in dynamic environments like managed AI platforms.