Keep a human stop point in risky automation
Design Python automation with abnormal-condition checks and human review points for high-risk work.
The move: make the script stop when the business situation looks wrong. Jidoka changes the question from Did the code run? to Should the process continue? A Python script can execute without exceptions and still create damage if the source data, timing, or business context is abnormal. Detection Add checks that compare the current run with expected shape: row counts, required fields, duplicate rates, total dollars, recipient counts, and changed records. Stop For high-risk actions, fail closed. Write a review artifact, log the reason, and exit before sending, deleting, or updating. Human Judgment The reviewer should not redo the whole…
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