Operational excellence isn’t about adopting AI for the sake of innovation—it’s about using it to make the decisions that already run the business faster and better. In labor-intensive, multi-site operations, AI earns its place when it identifies margin leaks before payroll closes, accelerates coaching against established KPIs, turns operating practices into scalable systems, and speeds the commercial work that protects recurring revenue. The test is simple: name the KPI, name the owner, and name the decision that should happen sooner. If AI cannot do that, it may be useful technology—but it is not operational excellence.