Which team should start an AI rollout?
In the workplace culture panel, a Brooklyn Sports and Entertainment leader described starting AI in one area to create a working example other teams could learn from. Pick that first team on readiness as well as excitement: a clear task, a supportive leader and people who can explain the work in detail.
Look for a team that can get appropriate access to the information the task needs, too. The first rollout should teach you something: training needs, how exceptions get handled or whether the proposed result is useful. Keep that learning question away from the pressure to announce a success.
It helps to write down the conditions around the result. A team with clean records and a dedicated coach may look nothing like a department with fragmented information and no support, so say what would have to change before the approach transfers.
Invite the next team to examine the example and name the differences in its own work. Adapt the rollout, and skip copying every step. A successful first team gives you evidence and a useful starting point. It doesn't establish that the whole organization is ready, or that the same approach belongs in every role.
What to try this week
Before you commit to a first team, write down the one thing the rollout should teach you. Then ask who on that team could explain the work in detail.