Stop counting AI logins - start counting outcomes
Uprovd Take Every argument to measure AI by outcomes instead of usage is an argument for what Uprovd already does: score value delivered, not activity logged.
Read the original at ForbesA Forbes column this week makes a case that will sound familiar to anyone tired of vanity dashboards: the number of people logging into an AI tool tells you almost nothing about whether it is working. Seats filled and prompts sent measure enthusiasm, not impact.
The better yardstick, the author argues, is the outcome each use is supposed to produce - a ticket resolved, a cycle shortened, a cost removed - measured against where the business stood before. Adoption becomes real only when it moves one of those numbers, and everything else is noise dressed up as progress.
That distinction is the whole premise of Uprovd. We treat usage as a cost to be justified, not an achievement to be celebrated, and tie every AI initiative to the specific result it was funded to deliver. When outcomes are the metric, the tools that earn their place become obvious - and so do the ones quietly burning money.
This is Uprovd's analysis of third-party reporting. Original article linked above.