Demos are easy. Production is where AI dies.
Most AI projects never leave the sandbox. A prototype impresses in a workshop, then collapses the moment it meets real data, real users and real systems. Integrations break, exceptions pile up, ownership is unclear, and the business quietly moves on.
Building agents and automations that actually run — reliably, safely, at scale — takes a different discipline. Engineering, not experimentation. It's the gap between a clever demo and a workflow your operations team trusts on a Monday morning.