| Artificial intelligence has progressed rapidly over the past decade, evolving from basic automation and rule-based systems to advanced machine learning models capable of making independent decisions. As enterprises began deploying these systems widely, the concept of autonomous AI at scale emerged, promising efficiency, speed, and reduced operational overhead. While this phase delivered measurable benefits, it also revealed significant limitations when applied to complex, interconnected enterprise environments.
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