You recently joined a machine learning team that will soon release a new project. As a lead on the project, you are responsible for assessing the production readiness of the ML components. The team has already conducted extensive testing on features and data, model development, and infrastructure to ensure quality and robustness. Given that these aspects have been tested, which additional readiness check should you recommend to ensure the model's successful deployment and operation in a production environment?