Abstract: An AI-based computing system for responding in real-time to an inbound message including a processor that is programmed to cause to display, within a graphical user interface i) a proposed response message responsive to a query message, the proposed response message being generated by an AI response model, ii) a link to one or more relevant documents retrieved from a corresponding subject-category database, and iii) a feedback input enabling a representative to assign a response indicator. The processor is programmed to receive a response indicator for the proposed response message and create a historical record. The processor is programmed to generate a training dataset and re-train the AI response model using the training dataset. The processor is programmed to cause to display, within the graphical user interface, in real-time, a revised response message responsive to the current inbound message using the re-trained AI response model.

Abstract: An AI computer system for responding to an inbound message including a processor configured to: a) receive an inbound message from a requestor computing device, b) parse the inbound message to generate a query, c) determine one or more keywords contained within the query, d) identify, based in part on the keywords, a subject-matter category database, e) search the identified subject-matter category database to determine one or more relevant documents, f) input the determined one or more relevant documents into a generative AI model to generate one or more model outputs including a proposed response message responding to the inbound message and a relevancy score for each of the relevant documents, the relevancy score indicating a level of relevance and responsiveness of the document to the inbound message, and g) transmit a notification message to a representative computing device.

Abstract: An AI-based computing system for responding in real-time to an inbound message includes a processor configured to: a) transmit, to a representative computing device, an AI model generated proposed response message responsive to a query message derived from the inbound message, b) receive, from the representative computing device, feedback associated with the AI model generated proposed response message, the feedback provided by a representative, d) create a historical record including the AI model generated proposed response message and the feedback, e) generate a training dataset including at least the created historical record, and g) using machine learning and/or artificial intelligence techniques, re-train the AI model using the training dataset.

Abstract: An AI-based computing system for responding in real-time to an inbound message including a processor that is programmed to cause to display, within a graphical user interface i) a proposed response message responsive to a query message, the proposed response message being generated by an AI response model, ii) a link to one or more relevant documents retrieved from a corresponding subject-category database, and iii) a feedback input enabling a representative to assign a response indicator. The processor is programmed to receive a response indicator for the proposed response message and create a historical record. The processor is programmed to generate a training dataset and re-train the AI response model using the training dataset. The processor is programmed to cause to display, within the graphical user interface, in real-time, a revised response message responsive to the current inbound message using the re-trained AI response model.