Designing Privacy-Preserving Architectures for Embodied AI Avatars in Augmented Reality Customer Service

Embodied AI avatars in augmented reality (AR) are reshaping customer service by delivering highly immersive, interactive, and data-driven experiences. However, the gathering and processing of user data—including biometrics and environmental signals—introduce significant privacy concerns. This systematic research paper synthesizes state-of-the-art literature on privacy-preserving strategies, proposes a robust methodology for architecting secure customer-facing AR systems, and contextualizes findings with case studies. The result is a holistic blueprint for balancing innovation, compliance, and customer trust.