Abstract: Disclosed herein are systems, methods, and computer-readable media for generating and transmitting event artifacts based on events that are detected using artificial intelligence (AI) agents. One or more AI agents can monitor a plurality of sources to detect events associated with available interactions with one or more public entities. In response to detecting an occurrence of a first event, the one or more AI agents can assign a first priority metric to the first event. The first priority metric can be based on particular properties of a primary entity. In response to the first priority metric falling within a first predetermined metric range, the one or more AI agents can generate a first event artifact based on the first event and the properties of the primary entity. The first event artifact can be transmitted to the primary entity via one or more engagement channels of a multimodal interface.

Abstract: The systems and methods disclosed herein provide an architecture for deploying artificial intelligence (AI) avatars that generate audio and video responses to user interactions across various infrastructure environments. The systems and methods disclosed herein establish connections between client applications and a first infrastructure layer that invokes multiple agents trained on domain-specific knowledge bases to retrieve associated data records. The retrieved data and user input are routed to a second infrastructure layer hosting a generative AI model that identifies relevant data fields and generates avatar responses as audio or video streams. The systems and methods disclosed herein are enabled to evaluate the user inputs and/or avatar responses by applying one or more validation criteria. The systems and methods disclosed herein adjust the user inputs and/or avatar responses based on the evaluation.