Mr John

The Monday-Morning Shortcut At 8:10 on Monday morning, Amina, an operations assistant at a growing training organisation, opens a shared inbox containing 186 unread messages. Some learners cannot log in. Others are asking about fees, certificates or registration. A manager wants a summary before the 9:00 meeting, and the communications team needs responses before midday. A colleague suggests copying every message into a generative AI tool. Within minutes, the tool groups the enquiries and drafts confident replies. It looks like a breakthrough—until Amina checks the results. One learner is told about a refund policy that does not exist. A private health detail appears in a copied message. Two urgent technical cases are classified as general enquiries. The system sounds professional, but it does not know the organisation's current policies and cannot accept responsibility for an incorrect response. The organisation now faces a choice. Should it abandon AI, trust it completely, or redesign the process so AI assists people within clear limits? Think Before You Continue: What made the tool useful? What made it risky? Which information should never have been entered? Where should a human check, approve or correct the work?