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While GenAI enterprise projects have surged, many fail to deliver lasting value. Current research projects that 30% of AI initiatives may fail, with only 1 out of 4 moving into production. As AI moves from proof-of-concept to core IT and business budgets, organizations face growing pressure to show measurable returns.
In this piece, Moody’s Pavle Sabic unpacks why so many generative AI pilots stall—and what sets successful strategies apart. From disciplined data foundations to context engineering and human-in-the-loop design, it outlines how organizations can build AI that delivers real, sustainable impact.
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