That's a pretty standard part of MLOps. I have a fraud model in production, it's being incrementally retrained each week, on a sliding window of data for the last x-months.
You can do it "online", which works for some models, but for most need monitoring to make sure they don't go off the rails.
You can do it "online", which works for some models, but for most need monitoring to make sure they don't go off the rails.