u/AdventurousLime309

After working on internal AI workflows for a while, I’m starting to think most enterprise AI problems aren’t actually AI problems.

NL2SQL? Metadata problem.

AI support agent hallucinating? Documentation problem.

Autonomous workflow failing? Process definition problem.

The model is usually the easiest part now. The hard part is extracting tribal knowledge from Slack threads, dashboards, analyst queries, random Notion pages, and the one senior employee who “just knows how it works.”

The teams getting real value from AI seem to spend more time organizing operational knowledge than experimenting with model prompts.