India, July 18 -- Enterprise GenAI often looks impressive in a pilot. The environment is controlled, the user base is small, and failures are easier to contain.

Production is different.

Once AI begins working with live business data, customer interactions, internal systems, and a larger number of users, every weakness becomes more serious. A wrong answer can affect decisions. A poorly controlled agent can take the wrong action. A hidden data flow can become a security problem.

In a conversation with PCQuest, Vinay Chhabra, Co-founder and MD of AceCloud, outlined why the next phase of enterprise AI will be shaped less by model access and more by governance, observability, infrastructure control, and accountability.

The core issue is si...