Why AI Savings Are an Illusion Without Process Re-Engineering
CIO, Thursday, July 2nd, 2026
Deploying AI over broken processes only accelerates inefficiency instead of delivering real cost savings.
The article argues that automating incoherent, labor-intensive processes with AI merely speeds up existing dysfunction, echoing the Solow Productivity Paradox.
It introduces process debt, where temporary fixes and risk-averse controls create fragmented workflows unsuitable for automation.
An example shows how an 85 percent AI intake improvement caused downstream chaos when legacy validation systems could not handle the higher data velocity.
The author calls for three governance layers, organizational, endpoint, and platform, and urges CIOs to decide what work should be automated, redesigned, or eliminated before deploying AI.