Why most AI projects don’t deliver ROI and how to fix it
By now, almost every enterprise has an AI story.
Years into the AI boom, disappointment has become a familiar refrain.
Only 28% of enterprise AI projects meet ROI expectations, with more than 90% of AI pilots never making it into production.
AI projects stall, returns fail to materialize, and executives quietly conclude that the technology “wasn’t ready”.
That narrative is convenient, but often wrong. So, where does ROI come from?
The problem with half-hearted AI
Most AI failures come from businesses unwilling to change how they work. Many organizations fund pilots, rally up innovation teams and deploy smart tools, but stop short of changing the systems those tools need to operate within.
Teams are given access to AI without being upskilled to use it effectively, and processes designed for human-speed decision making are left untouched, even as machine-speed systems are layered on top.
The disappointment soon follows... isolated productivitywins,...
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