Deploying AI models can be a high-stakes game. A single bug or performance regression can impact user experience and business metrics. Feature flags offer a powerful solution, enabling developers to decouple deployment from release, test new models safely in production, and gradually roll them out to specific user segments. This article explores how to leverage feature flags for robust, controlled, and progressive AI model deployments.