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What an agent could do
Catch early signs of equipment failure and propose a maintenance window before the line stops.
The decision underneath
May it reschedule a production run or stop a machine?
01
Where most ideas start
"Use AI to reduce downtime."
✕ Too vague
Make it specific
02
A workable use case
We want an agent to catch early signs of equipment failure, check spare-part availability and production commitments, and propose a maintenance window before the line stops unexpectedly.
Measure it
03
How you'll know it works
If the agent really helps, these numbers should change. Measure them before it goes live, then again after:
Unplanned downtime; late orders; emergency maintenance cost.
Then decide
04
The decision to make first
May it reschedule a production run or stop a machine? Who can override its recommendation when deadlines are tight?
Settle this before the agent goes live, not after.
Your turn
05
Pick a business problem in your organization that is expensive, slow, risky or frustrating. Then work through these four questions, as in the workshop:
1
What business problem are we solving?
2
Who would sponsor this, and why?
3
What measurable business result should change?
4
What would make this difficult to scale here?
Quick test: task or decision?
Is this only a task you want AI to perform, or a business decision you want an agent to help make or execute?