Why Your AI Team Is Slow Most AI teams don’t fail because of bad models. They fail because no one agrees on what “winning” means. If you try to optimize accuracy, recall, latency, and edge cases at once, progress stalls. High-performing teams pick one metric to win and treat everything else as a constraint.