Scenario: A healthcare chatbot begins suggesting incorrect medication advice due to outdated training data.

What went wrong:

  • No HITL approval for final recommendations

  • No escalation channel or logging mechanism

  • No one was assigned oversight ownership

Fix:

  • Added a pharmacist validation step before advice is shown

  • Created a feedback form linked to an error escalation queue

  • Assigned a medical lead as system steward

📌 Result: Improved safety, clearer accountability, and restored user trust.