The lunch rush is twenty minutes away when a café manager discovers that the employee assigned to handle online orders has never worked that station alone. The employee knows how to accept an order. She has not learned how to pause incoming orders when the kitchen falls behind.
The warning was in yesterday’s shift notes: she had completed the station with a trainer beside her and still needed practice handling a backlog. But the AI-generated summary condensed that detail to “online-order training completed.” The manager read the summary, assigned the station, and moved on.
This is a representative scenario. The tool introduced an error, but the manager also made a staffing decision without checking what the employee was ready to do. Now the manager has to rearrange coverage just as customers begin arriving. As AI changes assignments and expectations, managers need to check readiness for the work ahead rather than assume yesterday’s training is enough.
A summary is not a management conversation
AI can help a busy manager sort through shift notes, customer feedback, and unfinished tasks. That preparation can be valuable. But a summary that sounds complete can hide exactly the detail you need to discuss.
In this case, “training completed” answered the wrong question. The manager needed to know which parts of the job the employee could perform independently and where she still needed guidance.
I call the chronic failure to provide enough guidance, direction, support, and coaching the undermanagement epidemic. More information does not automatically solve it. If your management consists of reading updates and assuming people are ready, AI may compound that error.
Ask for the work behind the update
At the next training handoff, the café manager changes the routine. She asks the trainer to identify what the employee has demonstrated and what still needs practice. Then she works through a backlog scenario with the employee. What will she check? When should she alert the kitchen lead? Who decides to pause orders?
When she reaches a step she doesn’t understand, she explains it and has her practice. With practice and feedback, she has a way to build confidence and earn greater independence. Asking questions reveals the gap. Providing instruction and support helps close it.
The manager can still use AI to organize the notes. This time, she asks it to keep demonstrated skills, unresolved questions, and next steps separate, and checks its summary against the original. The tool helps her prepare for the conversation instead of becoming the reason she skips it.
Prevent the scramble before it starts
Managers often tell me they do not have time for this level of attention. But an uncovered station during the lunch rush takes attention too. So does correcting work, calming frustrated customers, and finding someone to step in.
Every unnecessary problem you prevent gives you time back. I call that manufacturing time. A useful conversation before the shift can prevent a much longer interruption during it.
Before the next shift or assignment, choose one responsibility that has changed. Review the actual work with the employee, clarify what they can handle independently, teach the next step, and agree on when to check progress. Make that part of your management routine.
Three takeaways
- Check what the summary leaves out. Verify training gaps and unresolved issues before assigning responsibility.
- Make readiness visible. Ask employees to demonstrate the work, then provide the instruction and support they need.
- Manage before the scramble. Set expectations and follow-up before the next shift or assignment begins.
