Implementing an Intelligent Virtual Assistant for a conversational channel

Provide users with convenient chat functionality from anywhere with a Pega Platform application by sending text messages or using voice commands in a simple question and answer form. For example, users can interact with Pega Intelligent Virtual Assistant (IVA) to report an issue, open a case, or get help. Implement a conversational channel so that an IVA for an application responds to user interactions using artificial intelligence and natural language processing (NLP).

IVAs for Facebook and Web Chatbot include a built-in preview console. You use the preview console to test the chatbot during the design phase, before moving the bot to a production environment. To help recognize the user's intent in responses more efficiently, you can also define text analyzer rules for a chatbot.

Note: The process of creating a Pega Platform application, including the design and development of an IVA channel for a conversational channel, requires open rulesets. However, once an IVA is in a production environment, you can lock the rulesets. Only when you need to build models further, or change the IVA channel configuration while in a production environment, you must unlock the rulesets.
  1. Build a conversational channel.
    For more information, see Building a conversational channel.
  2. Record and train the data for the text analytics model in the IVA channel.
  3. Troubleshoot and upgrade the IVA channel.