The AI Automation Trap: 95% Accuracy Increased Human Review Time

Warm-Reaction-456 · reddit · 2026-07-31

A developer built an automated quoting system with 95% accuracy, only to see it fail in production.

Accuracy Paradox: 95% accuracy meant 4 wrong quotes out of 80 weekly, requiring the client to manually check all 80 every day to prevent catastrophic errors, negating the time saved.
Weird Errors: AI mistakes were stranger than human errors, like applying discounts to the wrong customers.
The Fix: Instead of chasing higher accuracy, the system was taught uncertainty. Normal orders pass through, while anomalies route to a review queue, reducing manual checks to 12 per week.
Core Insight: If the time spent reviewing AI output matches the original manual task time, the work hasn't been automated; it just moved desks.

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