MLOps is used across industries and business functions to encourage scalability. Does the MLOps platform you use enforce the use or depend on highly specialised toolchains and technologies such as the models and programming languages in use? Should you integrate your models directly into your software infrastructure - is that even possible? Are you tracking your experiments or using a model server? In this use case we will explore the other value adds from MLOps, ranging from automated model re-training and re-deployment to automated compliance and reporting.