Is everybody else getting tired of AI tools that only tell you what went wrong after the customer hangs up or is it just me?

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Summary

The article critiques AI tools in customer service that only analyze calls after they happen, proposing real-time guidance while raising concerns about dystopian use, agent adoption, and scalability for growing companies.

A lot of the tools seem great at analyzing calls after they happen. You get transcripts. QA scores. Sentiment. Coaching notes. Maybe a dashboard showing why AHT went up. Useful stuff but the customer already had the bad call. The more interesting idea to me is using that data while the next conversation is still happening. If your best reps have figured out how to handle a billing issue or save a customer who wants to cancel then why leave that knowledge buried in old recordings and training docs? AI could surface that guidance during the call. Then the same conversation data could feed QA and coaching afterward. Of course this could get dystopian fast if managers turn it into a surveillance tool. Agents also don't need another annoying window throwing useless prompts at them. Adoption and integration seem like half the battle. Could this work for a company whos constantly growing and cant brute force people into positions
Original Article

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