Abstract: An automatic personalized response generation system and process receives user email containing questions and knowledge base articles through an email receiver integrated to an email engine and stores the user emails in a knowledge database. A gatekeeper module classifies incoming emails using structured criteria. A knowledge module gathers and organizes relevant information from the knowledge database and the gatekeeper module. An orchestrator module then routes the classified emails and relevant information to either a responder module or a human agent. The responder module crafts personalized responses, which are then refined by a modify module according to specific quality criteria. Throughout the personalized response generation process, the gatekeeper module, the knowledge module, the orchestrator module, the responder module, and the modify module utilize specialized prompts to guide an Artificial Intelligence (AI) engine via a prompt generator in performing its designated tasks.

Abstract: The system and method for managing asynchronous communication between an AI avatar and a human representative upon detection of a network failure to establish a real-time connection. The asynchronous communication management process comprises the AI avatar that is configured to detect a connection failure when unable to establish or maintain a real-time connection with the human representative. The AI avatar sends a first notification message to prompt the human representative to provide the necessary information asynchronously. The AI avatar receives an asynchronous response message from the human representative including information relevant to the context of the interactive session. Updating a knowledge base of the AI avatar by parsing the received asynchronous response message. The AI avatar sends a second notification to the user through the communication channel to inform the user that the knowledge base has been successfully updated with the new information provided by the human representative.

Abstract: A system and method for guiding an AI engine to generate a response by an AI avatar for a user. The response generation process includes an AI guidance and control system configured to facilitate the communication of the user to the AI avatar. The response generation process receives real-time inputs from a human representative via a mobile application which helps the AI engine to provide the response to the user when the query of the user is new to the AI avatar. A specially generated, technical prompt guides the AI engine to enable dynamic and continuous interaction. The AI engine ingests both user and real-time inputs, using a natural language processing algorithm to analyze and update a knowledge base of the AI avatar. A multimodal processing engine on a cloud-based server utilized by AI engine further enhances by handling diverse input types to provide personalized responses to the user.

Abstract: A system and method for guiding an Artificial Intelligence (AI) engine creates and operates a real-time, personalized and dynamically adapting avatar that mimics a human representative. The real-time adaptive avatar generation process receives initial human representative data human data such as video, images, or audio recording through an AI guidance and control system 110. The human representative data is analyzed to generate a prompt by a prompt generator to capture the physical and vocal characteristics of the human representative. The AI engine uses generative algorithms to produce a three-dimensional model reflecting unique attributes like facial structure and skin tone. It also employs voice synthesis algorithms to replicate the vocal properties of the human representative, including pitch, tone, and accent.