Deploying an AI model is not the end of the product lifecycle. AI systems can change in behavior over time as user interactions, data distributions, and operating environments evolve. This project demonstrates a continuous governance approach by monitoring simulated model drift against predefined thresholds, automatically flagging deviations, documenting governance actions, and reverting the model to a previously approved state when necessary.