As the lead of a machine learning team preparing to launch a new project, you're tasked with assessing the production readiness of the ML components. The team has already evaluated features and data, model development, and infrastructure. Considering the need for real-time performance tracking, compliance with industry standards, and the ability to detect and respond to data drift, what additional readiness checks should you advise the team to perform? (Choose two options)