Model drift
Definition
Degradation in an automated system's output over time as the underlying model is updated, or as the real-world inputs move away from what it was tuned on. It arrives quietly, without an error message.
A classifier tuned in January against a provider's model can behave differently in June after a silent version update. Nothing breaks; the output is simply worse, and nobody notices until a downstream number moves.
The defence is a small held-out set of examples with known correct answers, run on a schedule, with an alert on the failure rate. It is a day of work and it is the difference between finding out from a test and finding out from a customer.
Definitions are free.So is the audit.
Thirty minutes on a call, then a written 5-page plan inside 72 hours showing where this actually applies in your funnel — and what it is worth fixing first.