Your question is Maintain Post-Deployment Model Reliability. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You've shipped a model and it is now making live decisions. After launch, you need a clear plan to keep performance stable as data, users, and operating conditions change.
What steps would you take to ensure a model remains reliable after deployment?