AI · Productivity · Automation
The hours AI saves are going straight back into checking its work
What is changing
Teams report spending about as much time verifying, correcting and re-prompting AI output as the automation saved up front. The early productivity gain shows up, then erodes as review overhead catches up.
Why it matters
AI ROI models that count the time saved but not the time spent checking are overstating the return.
Opportunity
Measure net time — after review — before scaling a tool, and redesign the workflow so verification is cheap rather than a second full pass.
Early evidence
What Quettor is checking next
In which tasks does AI review overhead stay below the time it saves?