Lessons from RAG, voice-agent, and automation projects show that enterprise AI succeeds less by choosing the newest technology than by defining Value, Decision, Authority, Execution, and Adoption boundaries that survive production.
A confidence score makes an automation rule look easy. My JEV email classification PoC showed why the score must first be tested against outcomes and weighed against the consequences of a wrong decision.
In enterprise AI projects, the hardest barrier is often not explicit opposition but silent resistance. This article examines trust, tacit knowledge, fear of replacement, human judgment, and why reducing PoC feedback latency matters.