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wsj OP t1_j9ly38y wrote

Right now, AI is largely augmenting the workflow by making decisions while workers carry them out. But the tech is getting more advanced. More from the story:

>Charlie started out with simple tasks such as greeting callers, saying, “Hi, I’m Charlie, your digital assistant,” and asking basic questions, such as, “Please tell me why you are calling today.” After learning to route callers to the proper department, she was able to reduce average call-handle times by 36 seconds, or more than 10%, Ms. Cloud said.
>
>Charlie is a quick study. By late fall, she was trained to handle a water-leak claim (“Is this a major leak?”), while using empathy (“I’m sorry to hear about your leak”) and determine the urgency of the issue (“Are you able to shut off the water yourself?”) She then booked a contractor to come out for the repair. From start to finish, Charlie’s processing time took less than two minutes compared with a human, who averages eight. She now handles 15% of claims volume and is expected to handle 20% by next year. Chief Transformation Officer Kim Ratcliffe said she hopes Charlie can take over 40% of calls eventually.

-mc

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Own_Tomatillo_1369 t1_j9lz7p8 wrote

oh man thank god I never stranded in doing kinds of service, this efficiency measurement is insane. But is it even necessary when run by an AI?
Future: Lonely people calling empathic service hotlines ;)

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