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What an agent could do
Reprioritize maintenance when weather, failures, or contractor availability disrupt plans.
The decision underneath
Who can authorize a change that affects service, safety, or cost?
01
Where most ideas start
"Use AI to optimize infrastructure maintenance."
✕ Too vague
Make it specific
02
A workable use case
We want an agent to flag maintenance plans threatened by severe weather, new faults, or contractor shortages, check asset priorities and available work windows, and propose a revised schedule for an authorized manager before service is disrupted.
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 service disruptions; Time to reschedule urgent maintenance; Emergency repair costs
Then decide
04
The decision to make first
May it reprioritize work or change an approved road closure or rail access window? Who must authorize changes affecting service, safety arrangements, or contractor costs?
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?