What happens if a model starts losing accuracy in operation?

Data changes over time and with it the accuracy of the model declines. That is why from the outset we measure the quality of outputs against a control sample and watch for deviations in input data. When accuracy falls below the agreed threshold, you receive an alert and we retrain the model on current data. For some tasks retraining is scheduled regularly from the start.