Adaptive Accessibility Frameworks for Financial Web Platforms under ADA and WCAG 2.1
DOI:
https://doi.org/10.63397/ISCSITR-IJCSE_2025_06_06_001Keywords:
WCAG 2.1, Accessibility, Web Platform, AI, ADA, Adaptation, FinanceAbstract
This paper presents an adaptive accessibility guideline to the financial web platforms and it is compliant to ADA and WCAG 2.1 guidelines. The model integrates the AI-based compliance auditing, dynamic user interface rendering, and Automated Response to Accessibility (ARIA) in order to ensure inclusive digital experience. It monitors the issues of accessibility, provides real-time remediation, and incorporates compliance in the CI/CD processes. On a high-volume accounts-payable module that was tested, the violation of accessibility was minimized by 72 percent. The paper reveals the significance of the accessibility as a possible replacement of reactive correction by the proactive architecture with inclusivity becoming a natural instead of an accidental phenomenon in the development cycle.
References
Chemnad, K., & Othman, A. (2024). Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review. Frontiers in Artificial Intelligence, 7, 1349668. https://doi.org/10.3389/frai.2024.1349668
Pereira, L. S., & Duarte, C. (2025). Evaluating and monitoring digital accessibility: practitioners’ perspectives on challenges and opportunities. Universal Access in the Information Society, 24(3), 2553–2571. https://doi.org/10.1007/s10209-025-01210-w
Mehralian, F., He, Z., & Malek, S. (2025). Automated Accessibility Analysis of Dynamic Content Changes on Mobile Apps. Automated Accessibility Analysis of Dynamic Content Changes on Mobile Apps, 2689–2701. https://doi.org/10.1109/icse55347.2025.00039
Campoverde-Molina, M., & Luján-Mora, S. (2025). Artificial intelligence in web accessibility: A systematic mapping study. Computer Standards & Interfaces, 96, 104055. https://doi.org/10.1016/j.csi.2025.104055
Dash, S. (2024). AI-Powered Real-time Accessibility Enhancement: a solution for web content accessibility issues. Jurnal Online Informatika, 9(1), 80–88. https://doi.org/10.15575/join.v9i1.1310
Vera-Amaro, G., & Rojano-Cáceres, J. R. (2025). Towards accessible website design through artificial intelligence: A systematic literature review. Information and Software Technology, 186, 107821. https://doi.org/10.1016/j.infsof.2025.107821
Sarioğlu, A., Metin, H., & Bork, D. (2025). Accessibility in conceptual modeling—A systematic literature review, a keyboard-only UML modeling tool, and a research roadmap. Data & Knowledge Engineering, 158, 102423. https://doi.org/10.1016/j.datak.2025.102423
Singh, U., Venkatesh, J. D., Muraleedharan, A., Saluja, K. S., H, A. J., & Biswas, P. (2024). Accessibility Analysis of educational websites using WCAG 2.0. Digital Government Research and Practice, 5(3), 1–28. https://doi.org/10.1145/3696318
Stelea, G. A., Robu, D., & Sandu, F. (2025). AccessiLearnAI: an Accessibility-First, AI-Powered E-Learning platform for inclusive education. Education Sciences, 15(9), 1125. https://doi.org/10.3390/educsci15091125
Madu, I., & Nzenwa, C. (2024).
Ai in Web Development: Enhancing Accessibility
SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4949516Downloads
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Copyright (c) 2025 Ashok Vootla (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
