Why AI projects fail inside large enterprises and what leaders are learning
Enterprises across sectors are investing heavily in AI platforms, large language models, copilots, and intelligent automation. Yet despite the enthusiasm, many AI initiatives continue to struggle when moving from pilot projects to enterprise-wide deployment.Puneet Asthana, ED & CTO, Shriram Group’s Capital Market Business (Shriram Wealth AMC | Broking | Research), says the reasons behind these failures are often far less technical than most organisations assume.In an exclusive interaction with Express Computer, Asthana argues that successful AI adoption depends less on algorithms and more on fundamentals such as data discipline, governance, business ownership, and organisational readiness. As wealth management and capital markets firms increasingly embrace AI-driven experiences, he believes the winners will not necessarily be those with the most sophisticated models but those with the strongest foundations beneath them.The scaling challenge begins after the pilot succeeds
Most organisations today are able to demonstrate promising AI pilots. Small...
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