What 'AI feature' created negative ROI in production?

We implemented an AI-powered customer support triage system that initially looked promising in testing. In production, it actually increased our support costs by ~30% because:

The AI would confidently misroute 15-20% of tickets, requiring human review of ALL AI decisions and the Customers lost trust after a few bad experiences and started explicitly requesting human agents also Support agents spent more time correcting AI mistakes than they saved

The breaking point was data quality - our training data was too clean compared to real customer queries. We ended up rolling back to rule-based routing with AI as an optional suggestion tool instead.