Abstract: This invention provides a system and method for seamlessly navigating and bypassing Interactive Voice Response [IVR] interfacing using artificial intelligence, voice recognition, and pre-mapped understanding of IVR pathways. The system comprises an input module for capturing user intent, an engine for interpreting user input, an IVR database storing company-specific IVR mappings, and a dialer module for automated interaction with IVR systems. The invention allows users to input their intent via digital assistant, voice, text, or visual interfaces, automates the dialing and prompt navigation processes, and connects the user directly to the desired representative or department. Additional features include scheduling recurring tasks, fully automated IVR interactions for specific intents, and integration with APIs and web-based systems to enhance functionality.

Abstract: Aspects of the disclosure relate to computing platforms that utilize machine learning to perform output generation based on intent identification. The computing platform may train intent orchestration models (e.g., intent identification, output generation, or communication channel) using historical data. The computing platform may data corresponding to an individual. Based on the data, the computing platform may select intent identification models, and may use them to identify an intent. Based on the intent of the individual, the computing platform may select engagement output generation models, and may use them to generate a customer engagement output. The computing platform may use a communication channel model to identify a communication channel. The computing platform may send commands directing display of the customer engagement output, which may cause a user device to display the customer engagement output using the communication channel.

Abstract: Aspects of the disclosure relate to computing platforms that utilize machine learning to perform output generation based on intent identification. The computing platform may train intent orchestration models (e.g., intent identification, output generation, or communication channel) using historical data. The computing platform may data corresponding to an individual. Based on the data, the computing platform may select intent identification models, and may use them to identify an intent. Based on the intent of the individual, the computing platform may select engagement output generation models, and may use them to generate a customer engagement output. The computing platform may use a communication channel model to identify a communication channel. The computing platform may send commands directing display of the customer engagement output, which may cause a user device to display the customer engagement output using the communication channel.