Everyone wants an AI strategy. So companies do what companies always do when a new technology wave appears: They launch pilots. AI copilots internal chatbots workflow automations “agentic AI initiatives” experimental multi-agent systems The demos look impressive. The executive presentations sound visionary. But months later, very little changes operationally. That’s because most AI strategies are built backwards. ⸻ The real problem isn’t the model Most AI initiatives don’t fail because GPT models are weak. They fail because organizations treat AI as a tooling layer instead of an operational redesign problem. A typical enterprise AI roadmap looks like this: Launch pilot Test internally Generate excitement Try to scale later The issue is that “scale later” almost never happens. Not because the pilot didn’t work. Because the organization never redesigned the system around it.…