|
|
|
|
|
by inetknght
740 days ago
|
|
Many companies use this style of "support" in place of employing real people and don't provide a method to escalate to a real human. What guard do I have, as a consumer, against trash like that? What makes yours unique? When I call for support I expect to receive support. I have never ever had an AI or robot support assistant that actually provides the help that I need when I call. How do you address the possibility of LLM generating absolutely false information? Do you actively tell the user where they can contact a real human to provide feedback about the terrible customer support response that your product will undoubtedly provide? Or is this just another dumpster fire of "it sounds like you're having trouble with our product. here's our FAQ..."? Does your product integrate with internal company APIs? How do you deal with the risk of customers abusing that? |
|
1) Our customers can decide which categories of end-user questions should be auto-escalated
2) We ensure that if a question cannot be answered based directly on knowledgebase content, we either escalate or try to ask followups to drill deeper
3) We offer an API which our customers can directly integrate with their own systems. For protection, we either limit the set of allowed actions, or if the customer prefers, they can handle the safeguarding code internally with advice from us.
Lastly I would say the usage of LLMs is young in the support space and things will only improve from here!