Automatically register AI models from code workflows

AI systems are increasingly developed directly in engineering environments such as notebooks, Git repositories, and CI/CD pipelines, yet governance often begins only after models reach production. According to 2025 Global AI Survey, more than 70% of organizations now use AI in at least one business function, accelerating the number of models, pipelines, and AI systems teams must track. However, AI assets are often documented manually and too late in the lifecycle. Capturing AI assets directly…