1 Min Video: quick2chat Employee using chat help center to talk to AI and then route to a live agent

quick2chat Employee using chat help center to talk to AI and then route to a live agent

Video:

Description

Help centers are a simple UI feature to organize chat bots and FAQs into a portal page that companies can deploy to connect with their chat services.

This example shows a chatbot launching from one of our help centers and then starting a conversation that is initially routed to a RAG AI service and then escalated to a person.

Our application automatically includes all KB articles into the AI RAG module and can be shaped, or influenced, by custom prompts (stored in the prompt library).
The RAG AI component is design to provide employee self service.

If the employee is frustrated, or needs to chat with a person, then the system escalates the person out of the AI chat experience and locates a person to provide immediate assistance.

See Also

Organize chat bots using help center portals: https://www.chimev5.com/help-center-dashboard https://ai.instant-tech.com/integrate-azure-openai-with-teams Web client info: https://www.chimev5.com/custom-ai-help-desk-web-chat-client Chat metadata: https://www.chimev5.com/get-started-with-using-metadata

Transcript

Hi, in this quick video I want to cover how managers can utilize help centers to test out different chat scenarios. In this scenario, I want to utilize AI and then route to agents. So, initially I'll click into here and I'll enter a chat that I can have um AI take a look at. I'll get a response back from it and then afterwards I'll indicate that I want to talk to a live agent and then it should route me to a live agent. So here the AI has given me an update on my question. I can indicate that that was great, but I want to talk to a live agent. And then I should in this scenario see, yep, we're connecting you to an agent. And then it should give me an expected weight