01The Challenge
The team wanted to explore AI in real business work without stopping at tool instruction or conceptual discussion. All three challenges came from live operations and required cross-functional members to understand the problem together, integrate information and shape directions that could continue to be tested.
02Our Approach
Participants brought live work into the room. Teams first reframed the problem, then involved AI in research, synthesis, solution generation and rapid validation. People retained judgement, choice, challenge and ownership, while AI amplified the team’s work. Two tracks moved together: business outcomes and observation of how the team communicated, decided and collaborated.
03What Emerged
As solutions emerged quickly, the real difficulties became visible: did the team understand the same problem, were its criteria aligned, and who would make the final choice? AI accelerated the work and clarified the team’s existing collaboration patterns.
04What the Team Took Forward
The three challenges produced working directions, validation paths and next actions. More importantly, the team experienced human–AI co-creation first-hand: AI expanded the possibilities, while people remained responsible for judgement and for moving the work forward together.