“Trust but verify” is an excellent motto. But in the world of enterprise AI decision-making—whether you are routing high-intent sales leads, scoring credit risk, or automated-rejecting job applicants—we face a quiet crisis. When automated systems disappoint us, the default corporate reaction is to double-down on training, spot-check a few dashboard outputs, or plead for “better […]
We are living in the era of “Trust but Verify”. Every day, companies hand over critical business decisions to automated systems. We let AI screen job applicants, score sales leads, and route customer accounts. When these systems disappoint us, our instinct is to manually spot-check a few outputs. We eyeball a dashboard, click around a
If you’ve applied for a job in the last two years, you’ve probably felt it: the application vanishes into a black box, and a rejection lands minutes later — sometimes before a human could have possibly read it. Nobody tells you why. The algorithm just… decided. The instinct is to blame the AI. It’s not
