PRODUCTION SCENARIO
An insurer deploys a model that prioritizes claims for review. Six months later, the intake form changes and reviewers report worse recommendations.
Which action should the team take?
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Show answer and explanation
Answer: Monitor the production inputs and outcomes, then validate the fix.
Machine learning is a continuous cycle: after deployment you monitor inferences and evaluate the model to identify drift, then validate any change before it ships. Remapping the fields assumes the schema is the whole cause and skips measuring whether recommendations recover. Rolling the form back freezes the product to protect the model and leaves the team blind to the next change. Retraining on claims recorded since the change learns from data the degraded model itself prioritized.