AI agents are starting to expose how broken most workflows already were

One unexpected thing about AI agents: They’re forcing companies to realize how much of daily work was never actually structured in the first place. A lot of “processes” turn out to be: * random Slack messages * undocumented approvals * tribal knowledge * someone remembering what to do next That’s probably why some AI automations look amazing in demos but struggle in real environments. The model isn’t always the issue. The workflow itself is chaos. What’s interesting is that the teams getting the best results with AI agents usually aren’t the ones using the most advanced models. They’re the ones with cleaner systems, better documentation, and clearer decision-making. Feels like AI is becoming less of a “replacement tool” and more of a mirror showing how organizations actually operate behind the scenes. Curious if others working around AI automation are noticing the same shift.