Are Your AI Investments Building Intelligence?

India, 27 May 2026 - Most enterprise AI programs move fast and stop improving. In a Hindustan Times article, Vineet Moroney, Chief Transformation Officer at Xoriant, identifies the root cause: loop fragmentation where data intake, decisioning, and learning operate as disconnected systems rather than a reinforcing intelligence layer.

He takes a classic example of two insurance carriers that deployed identical AI-powered claims triage in 2023. One connected intake to decisioning but built no feedback loop and the performance plateaued. The other closed the loop across all three layers, and by month eighteen, the model outperformed human review on 60% of case types and kept improving.

He concludes with a sharp provocation, "If you cannot answer which investments are feeding a learning loop and which are simply running faster, you are not building intelligence, but renting automation." Same investment horizon with fundamentally different architecture that produces different outcomes.

Read the full article on Hindustan Times.