India, Aug. 10 -- A GenAI pilot can make almost anyone feel hopeful. It answers faster than expected, cleans up messy work, and gives teams a glimpse of a future where dull tasks stop eating the day. Then the pilot ends, and the same system has to work inside a real business, where exceptions pile up, and responsibility can no longer hide in a Slack thread.

In a conversation with PCQuest, Ankor Rai, CEO, Straive, laid out a more grounded view of enterprise GenAI: the challenge is not simply picking the smartest model, but building systems that can change, scale, stay traceable, and keep humans accountable when the work moves from a controlled test to live operations.

A common enterprise mistake is treating a foundation model like a long...