
Long before delegates arrive, an event can become difficult to control in ways that are easy to miss.
A speaker has not completed registration. An abstract still needs the right reviewer. A payment does not match its invoice, and moving one session creates three new clashes. None of these jobs is unusual, but together they can consume a team’s attention.
The risks of AI in event management become clear when a tool is asked to take responsibility for all these connected jobs. A single incorrect assumption can move from an abstract or registration record into a payment decision, reviewer assignment or published schedule.



