India, Sept. 1 -- Enterprise AI is moving into a more demanding phase. After generative AI experiments and copilots, organisations are beginning to explore systems that can do more than generate an answer. AI agents can access enterprise data, invoke applications, initiate workflows, and take actions within defined boundaries.

That changes the infrastructure fabric. Its no longer simply whether an enterprise has enough cloud capacity or compute. Organisations must determine how AI agents are identified, what systems and data they can access, how their actions are monitored, and where human oversight must remain non-negotiable.

The implications also extend beyond technology architecture. As AI takes on more development and operational wo...