After three years of leading AI transformation initiatives across multiple enterprise software deployments, I've learned that crafting an effective generative AI enterprise strategy is less about technology selection and more about organizational readiness. The gap between pilot success and production scalability has derailed more implementations than any technical limitation. What follows are the unvarnished lessons from real deployments—the moments where theory met reality, and the adjustments we made to bridge that gap. The most critical realization came during a customer service automation project at a mid-market SaaS provider. We had a brilliant proof of concept that impressed every stakeholder, yet when we attempted to scale, our Generative AI Enterprise Strategy revealed fundamental misalignments between our DevOps pipelines and the model's operational requirements. That experience reshaped how I approach every subsequent implementation, prioritizing infrastructure read...