When Accessibility Becomes Intelligent

Digital accessibility has traditionally focused on compliance with standards such as the Web Content Accessibility Guidelines (WCAG). While compliance ensures baseline inclusivity, it does not adequately address the dynamic, AI-driven, and component-based architectures prevalent in modern digital systems. This paper proposes an AI-Augmented Accessibility Framework that integrates semantic enforcement, DevOps automation, runtime observability, machine learning augmentation, and governance oversight. The framework transitions accessibility from reactive validation to predictive and adaptive infrastructure. The study outlines architectural layers, enterprise implementation strategies, and ethical considerations necessary for scalable intelligent accessibility systems.