My Chatbot Apology Script Backfired Hard at a Call Center in Tulsa

Last week I finally got to test the new AI apology system we rolled out for customer complaints. The idea was simple, the bot would say sorry first, then solve the issue. But three times in one shift, customers got angrier because the apology sounded fake, like a script with no heart. I told my supervisor that the AI needs to skip the sorry line and just fix the problem, but she said empathy metrics matter more than actual outcomes. 3 years ago I handled calls manually and people calmed down faster when I said 'that stinks' instead of a corporate apology. Why are we forcing machines to sound human when humans themselves hate that canned tone? Has anyone else seen automated empathy blow up in their face?

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simonp4722d ago

Wait, is the real problem here that the bot apologizes wrong, or that you're measuring the fix over the feeling? If your supervisor says empathy metrics are what the company tracks, then maybe the callers aren't the ones you should be trying to please... you're just doing what gets scored higher. And honestly, "that stinks" works for you because you're a real person with a voice tone, but most humans on the phone sound just as fake as a bot when they're reading from a script anyway. The bot's apology might be canned, but at least it's consistent, and consistency is what management can actually use to train and improve the whole system over time... you can't scale your personal vibe to a hundred agents. Seems like the real blowback is the callers getting used to the old way, not the apology itself being broken.