The study, which surveyed 200 senior decision-makers at companies with over $100 million in revenue, highlights a recurring cycle of inefficiency. While organizations accelerate spending on artificial intelligence and cloud platforms, they consistently underestimate the impact these tools have on daily operations. Only 35% of leaders confirmed their organizations evaluated how work would actually change before rolling out new systems, leaving a significant gap between installation and adoption.

Melissa Jezior, president and CEO of Eagle Hill, notes that leadership often mistakenly views the "go-live" date as the finish line. In reality, the failure to retire legacy processes and workarounds often begins immediately after implementation. To extract real value, the research suggests that firms must move beyond standard training exercises and treat adoption as an ongoing operational discipline. Successful organizations, the data indicates, prioritize redesigning workflows and measuring behavioral shifts over simple software deployment.