Yes, I’ve seen this play out more than once. The first sign usually isn’t a model metric dropping, but a business signal feeling “off” recommendations that technically looked fine but led to lower engagement, or predictions that required more manual overrides from operators. When we dug in, feature distributions had slowly shifted and certain edge cases were becoming more common, even though overall accuracy hadn’t moved enough to trigger alerts.