India, Feb. 12 -- As enterprises accelerate generative and agentic AI adoption, many pilots continue to stall before reaching production scale. In this conversation with DataQuest, Ankor Rai, CEO of Straive, argues that the barrier is rarely model capability. Instead, the real constraints lie in content readiness, governance design, and the operationalisation of human oversight.

Drawing on Straive's work across regulated sectors such as Life Sciences and BFS, Rai outlines why production-grade AI demands structured knowledge infrastructure, risk-tiered human-in-the-loop systems, and disciplined operating models that treat AI not as a project, but as an enduring business infrastructure.

The stalling of GenAI pilots is rarely a technology ...