For decades, enterprise automation has followed a familiar logic: define the process, encode the steps, and let software execute them consistently. Scripts automated commands, runbooks captured procedures, orchestration connected tasks across systems, and AIOps brought machine learning to the growing volume of operational data. Each advance made automation more capable, but people still did most of the deciding. They determined the process; the software carried it out. Agentic AI changes that…