AI-DRIVEN TRANSPARENCY: A NEW MODEL FOR TECHNOLOGICAL INNOVATION IN WAQF ASSET MANAGEMENT AND OPTIMIZATION
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Artificial Intelligence, Asset Optimization, Transparency
Abstract
Technological innovation has become increasingly crucial for enhancing governance, transparency, and productivity within Islamic social finance, particularly in the management of waqf assets. Traditional waqf systems often struggle with fragmented documentation, limited monitoring capacity, inefficient asset utilization, and weak public accountability. The emergence of artificial intelligence (AI) provides new opportunities to modernize waqf administration by automating data processing, improving transparency, and enabling predictive decision-making. The study is motivated by the need to examine how AI-driven transparency can function as a transformative model for optimizing waqf asset performance and strengthening public trust. The research aims to develop and assess an AI-assisted framework capable of improving waqf governance through automated records management, predictive asset valuation, and real-time performance monitoring. The objectives include evaluating the technological feasibility of AI integration, identifying the governance gaps it can address, and measuring its impact on efficiency and accountability. A mixed-methods approach was applied, combining machine-learning simulation for asset optimization, qualitative interviews with waqf administrators and Islamic finance experts, and document analysis of existing governance standards. Quantitative modelling focused on predictive maintenance, occupancy forecasting, and asset revenue optimization. The findings show that AI-driven systems improve asset tracking accuracy by 41%, reduce administrative delays by 52%, and increase projected revenue potential through optimized utilization patterns. Stakeholders report enhanced trust in waqf institutions due to transparent, data-driven reporting and automated audit trails The study concludes that AI-driven transparency offers a viable model for strengthening waqf governance and asset optimization. Building supportive digital infrastructure, regulatory frameworks, and ethical AI guidelines is essential for sustainable adoption.
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Copyright (c) 2025 Samira Mohammed, Amin Zaki, Oliver Harris
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