One consistent pattern in production AI work is that model quality is rarely the main bottleneck.

Trust, identity, security, and operational discipline tend to determine whether systems can actually scale beyond pilots—especially as agentic systems become more autonomous.

Curious how others here are thinking about governance and reliability for AI systems operating in real-world environments.