A recent study from MIT's Project NANDA indicates that 95% of organizations are not seeing a return on their substantial investments in generative artificial intelligence. The primary reason cited is the mismeasurement of AI's impact, with companies focusing on productivity gains rather than process redesign. True ROI is better assessed by tracking metrics such as straight-through processing rate, end-to-end cycle time, rework rate, time to audit, and exception catch rate, which reflect the health of entire workflows. AI
IMPACT Highlights a critical gap in how businesses measure AI success, suggesting a need for new frameworks to realize value.
RANK_REASON Article discusses a study and offers an opinion on AI ROI measurement, not a direct announcement or release.
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