India, Dec. 1 -- Generative AI has shifted from curiosity to capability. Yet, in many enterprises, its role remains confined to isolated use cases like chatbots, document summarization, and code assistants. These applications prove the potential of large language models, but they do not alter how decisions are made, how systems behave, or how organizations execute. The architecture remains unchanged. That is why, despite rapid experimentation, scale remains elusive.

The next frontier is not better prompting. It is the architectural transition from prompt workflows to composable agents. Where workflows guide individual productivity, agents rewire enterprise execution. This transition is not about model quality. It is about system behavior...