Since OpenAI released GPT-3 in 2022, model capabilities have improved at breakneck speed. Accuracy benchmarks have climbed, multimodal reasoning has matured, and costs per token have fallen. On paper, AI has never been more powerful, but the reality in production tells a different story. Research from MIT (2025) and Boston Consulting Group (2025) shows that while AI experimentation is widespread, measurable business impact remains limited. Many enterprises report difficulty translating AI pilot programs into measurable gains. Success metrics tied to cost reduction, productivity, and revenue lift lag behind executive ambition. The issue is not a lack of model intelligence; it’s architectural misalignment. Enterprises are struggling to operationalize AI at scale. While AI adoption has skyrocketed over the past few years, many deployments remain experimental, isolated, or limited in scope.…