AI observability provides deep visibility into AI systems beyond traditional monitoring, tracking data quality, model performance, infrastructure, and ethical compliance. It's essential for detecting silent model degradation, managing complexity at scale, and building trust in AI systems. Organizations implementing AI observability gain faster troubleshooting, optimized performance, and better risk management.