ai-vision-and-strategy

Read [runtime](../../content/RUNTIME.md) and [advisory rules](../../content/policies/advisory.md) before applying this skill. Other Foreman layers and the catalog are in `../../content/`, relative to this SKILL.md. # AI Vision and Strategy Ninety percent of organisations have experimented with AI. Only 17 percent have succeeded in scaling it. The gap between experimentation and institutionalisation is not a technology problem -- it is a vision problem. One CEO, upon deciding to adopt AI, told his leadership team that business strategies of the past would no longer be relevant, that organisations needed to "start thinking like machines," and that AI engineers would become "the voices of the future." The meeting erupted in chaos. Managers asked in near-despair what this meant for their own jobs and their teams. The CEO had presented AI as an inevitability without a human story -- a technology-first vision that offered efficiency but no meaning. Contrast this with a logistics company leader who articulated precisely why AI mattered for inventory management, acknowledged what it could and could not do, set realistic targets, and told her workforce: "We're not using AI simply to use AI. It needs to help and make a difference, or else we will not use it." A year later, the adoption was expanding at every level. The difference between these two leaders was not technical knowledge. It was vision. --- ## The Framework ### The Two Perspectives The framework presents the entire A...