You Cannot Automate Your Way Out of Dysfunction
“The purpose of a system is what it does.” — Stafford Beer A team drowning in slow approvals decides the problem is speed, so they add AI. Leadership announces a new assistant to unlock productivity. A chatbot is rolled out to close knowledge gaps and reduce internal friction. Demos look promising. Early outputs feel impressive. But weeks later, nothing fundamental has changed. Decisions are still unclear. Ownership is still fuzzy. Data is still inconsistent. If anything, the noise level has increased. You can't use AI to repair broken systems. What it does in reality is accelerate their weaknesses. You see, AI multiplies what already exists. Unclear decision rights leads directly to faster confusion. If no one knows who owns decisions, AI generates more options. Further, more stakeholders weigh in, and decision latency increases. Think about it like this: AI increases surface area of disagreement. Poor data result in confidently wrong outputs. If your data are incomplete, incons...