Generative artificial intelligence based IVR system responses for real time authentication and data access with disparate communication networks

A system comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising:
• receiving a set of prompts from an interactive voice response (IVR) system of an institution during a session;
• providing data associated with the set of prompts to one or more machine learning models trained based on training data;
• and
• based on the one or more machine learning models, generating during the session a set of responses to the set of prompts for the IVR system to at least one of a) authenticate a user and b) access targeted account data maintained by the institution through the IVR system, wherein the one or more machine learning models are configured to generate responses that enable multi-directional navigation of the IVR system for acquisition of multiple types of the targeted account data in the session.

A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform operations comprising:

• receiving a set of prompts from an interactive voice response (IVR) system of an institution during a session;
• providing data associated with the set of prompts to one or more machine learning models trained based on training data;
• and
• based on the one or more machine learning models, generating during the session a set of responses to the set of prompts for the IVR system to at least one of a) authenticate a user and b) access targeted account data maintained by the institution through the IVR system, wherein the one or more machine learning models are configured to generate responses that enable multi-directional navigation of the IVR system for acquisition of multiple types of the targeted account data in the session.