Intent: Ensures AI solutions are reliable, scalable, observable, and continuously improved in production. Description: This capability governs the operational lifecycle of AI and ML systems, including deployment, monitoring, retraining, and incident management. It integrates AI workloads into enterprise operational processes using AIOps and MLOps practices. Typical Scope: • Model lifecycle management • Monitoring, observability, and drift detection • CI/CD pipelines for AI models • Operational resilience and reliability