by Johnny Halife
opinionMay 21, 20266 mins
For the past few years, enterprise AI conversations have been dominated by optimism: bigger models, more pilots, faster automation. The prevailing assumption was simple — pick the right AI platform and progress would follow.
Reality has been far less forgiving.
Most IT leaders have discovered that production AI is significantly harder than early experimentation suggested. The real work begins not when a model performs well in isolation, but when it must operate inside environments that are secure, observable, and operationally durable.
