AI Deployments Fail When Firms Automate Broken Workflows First
The Common Question
Why is our AI investment not improving profits or margins?
The Lesson in This Case
Most AI deployments fail to move the bottom line because companies bolt automation onto broken processes rather than redesigning the work itself. The real driver of AI value is workflow architecture – organizations that restructure how work flows before introducing AI consistently outpace those that simply speed up what already exists. If your AI initiatives are producing activity metrics but not margin improvement, the process design came after the technology decision, and that sequence needs to reverse.
Originally reported by Harvard Business Review. Read the full story here.
