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What an agent could do
Respond to screening disruptions, ticket changes, and customer complaints.
The decision underneath
What refunds or alternative arrangements may it authorize?
01
Where most ideas start
"Use AI to improve the cinema experience."
✕ Too vague
Make it specific
02
A workable use case
We want an agent to detect a delayed or cancelled cinema screening, check available seats and alternative showtimes, and propose rebooking or refund options to affected ticket holders before queues build at the box office.
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:
Time to resolve disrupted bookings; Repeat customer contacts; Customer satisfaction after disruptions
Then decide
04
The decision to make first
May it rebook ticket holders or issue refunds automatically when a screening changes? What refund amount, seat change, or exception requires a manager’s approval?
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?