Enterprise AI is rapidly moving beyond isolated copilots and into operational systems shaped by orchestration, runtime coordination, governance, and organizational complexity. At Stockholm MLOps #35, speakers from Proxify, Crowd Collective, Munters, TRATON Group, IKEA, and Mimer AI Factory explored what actually breaks once AI enters enterprise-scale environments — and why the hardest problems increasingly sit in workflows, operational maturity, and distributed systems behavior rather than the models themselves.