That’s hard with AI, because early efforts are exploratory by nature. You don’t really know the shape of the value until you’ve iterated. If experimentation immediately becomes a public performance review, the safest move is not to experiment. I think this is a big part of why so many enterprise initiatives stall. The org says it wants discovery, but the governance model assumes delivery. Your point about needing space to fail quietly is important.