alt Hacker News> Out of all of the different things these agents can do, surely most forms of "routine" customer support are the lowest hanging fruit?
I come from a world where customer support is a significant expense for operations and everyone was SO excited to implement AI for this. It doesn't work particularly well and shows a profound gap between what people think working in customer service is like and how fucking hard it actually is.
Honestly, AI is better at replacing the cost of upper-middle management and executives than it is the customer service problems.
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There are some solid usecases for AI in support, like document/inquiry triage and categorization, entity extraction, even the dreaded chatbots can be made to not be frustrating, and voice as well. But these things also need to be implemented with customer support stakeholders that are on board, not just pushed down the gullet by top brass.
>Honestly, AI is better at replacing the cost of upper-middle management and executives than it is the customer service problems.
Sure, but when the power of decision making rests with that group of people, you have to market it as "replace your engineers". Imagine engineers trying to convince management to license "AI that will replace large chunks of management"?
> shows a profound gap between what people think working in customer service is like and how fucking hard it actually is
Nicely fitting the pattern where everyone who is bullish on AI seems to think that everyone else's specialty is ripe for AI takeover (but not my specialty! my field is special/unique!)