· 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. Your teams toggle between 47 different tools, switching contexts 1,200 times daily. That is where most AI projects die, not in the data architecture.