Architecture for artificial intelligence avatar deployment across hybrid cloud infrastructure

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. Context data is maintained across communication sessions and multiple client devices to preserve conversational continuity