Why enterprise AI pilots fail to reach production
The enterprise AI conversation is undergoing a fundamental shift. After two years of experimentation with large language models, organisations are beginning to recognise that deploying AI at scale requires far more than selecting the right model. The real challenge lies in embedding AI into business operations while ensuring governance, compliance, measurable outcomes and seamless integration across enterprise systems.
While generative AI has demonstrated remarkable capabilities, many organisations continue to struggle with moving initiatives beyond proof-of-concept stages. According to Sharath H. Keshavamurthy, Director – Solutions Engineering, South Asia, UiPath the next wave of enterprise AI will be defined not by better models but by stronger orchestration and operational discipline.
In this exclusive interaction with Express Computer, Keshavamurthy discusses why enterprises are getting stuck between experimentation and production, why governance must become part of AI design from day one, and how business orchestration is emerging as a critical layer for enterprise transformation.
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