The Reliability Gap: Why Enterprise AI Keeps Failing After It Already Works (opens in new tab)

I've lost count of how many enterprise AI rollouts I've watched go through the same arc. Month one: leadership demo, applause, a slide with a hockey-stick projection. Month six: a quiet Slack thread where someone on the ops team asks why the assistant gave three different answers to the same question this week. Month nine: a "pause and re-architect" memo that never uses the word "failure," because nobody wants to write that word in a board update. The model didn't get worse. Nobody shipped a ...