International Journal of Web Applications Hathairat Ketmaneechairat 18 2 2026 https://doi.org/10.6025/ijwa/2026/18/2/94-118 https://www.dline.info/ijwa/fulltext/v18n2/ijwav18n2_3.pdf Digital transformation has become a fundamental requirement for socioeconomic development, governance modernization, and inclusive service delivery across nations. However, substantial disparities remain in digital inclusion, infrastructure maturity, data accessibility, and the effectiveness of identity systems between developed and developing economies. This paper presents a unified, journal-ready predictive artificial intelligence (AI) framework that integrates machine learning, deep learning, explainable AI, federated learning, and multi-criteria decision analysis (MCDA) techniques to enable a comprehensive assessment of digital transformation. The proposed framework consolidates ten interconnected predictive architectures into a coherent analytical pipeline that forecasts digital inclusion trends, infrastructure readiness, accessibility inequalities, and the effectiveness of national digital identity. The study utilizes cross-country panel data spanning multiple years and integrates predictive modeling techniques such as Random Forest, XGBoost, CatBoost, Long Short-Term Memory (LSTM) networks, Temporal Fusion Transformers, Graph Neural Networks, and federated optimization methods. In addition, the framework incorporates AHP-TOPSIS-VIKOR decision mechanisms for global digital readiness ranking and explainable AI modules using SHAP and LIME for transparent policy interpretation. The proposed system enables country-level forecasting, inequality detection, infrastructure maturity classification, governance optimization, and long-term strategic policy simulation. The paper further discusses statistical analyses, visualization strategies, geospatial mapping, and dashboard architectures that can be generated from the framework. The integrated methodologyprovides a scalable and interpretable foundation for AI-assisted smart governance, sustainable digital transformation, and evidence-based digital policy planning.