MLOps maturity

Imagine you have been working as a data analyst in the data science team at a company called LeChurn. At LeChurn, you help retail shops detect when a customer might be churning. This is what you have learned so far about doing machine learning at LeChurn:

• In the machine learning processes at LeChurn, the machine learning experiments are automated.
• There does not seem to be a separation between the data scientists developing the model and software engineers deploying the model.
• Each time your team has a new model developed, the deployment is not yet automatically built, tested, and deployed.

A business stakeholder reaches out and asks you how mature you think LeChurn's MLOps processes are. How do you respond to the business stakeholder?