· Amit Kothari · AI
Why your AI readiness assessment is lying to you
Traditional AI readiness assessments measure data quality and infrastructure while missing what actually predicts failure: workflow fragmentation. Knowledge workers already toggle between apps 1,200 times a day and get interrupted every 2 minutes. That is where most AI projects die, not in the data architecture.