The “Rule of Ten” tells us that the cost of fixing an error increases by an order of magnitude the later it is detected in the software development lifecycle. In the AI era, that multiplier grows steeper. Once models power widely deployed services or autonomous agents, a single unchecked anomaly can propagate across systems, dashboards, and decisions—transforming a minor oversight into significant financial and reputational risk. The original errors often originate from human lapses, affected by interface design, cognitive load, or perceptual blind spots. Designing AI systems that respect human constraints is not a luxury, it is economic risk management.