Ghost Tech and Hollow Feedback Loops: Reclaiming AI and ERP Systems within Complex Institutional Realities

This paper presents a comprehensive framework for leveraging digital transformation and ethical AI governance to drive sustainable development in emerging markets, with a focus on East Africa. It explores the integration of data systems—including ERP, blockchain audits, and AI analytics—within public health, agri-tech, and mobility sectors to enhance operational efficiency, transparency, and social impact. Drawing on case studies from multi-sector collaborations, the study highlights scalable innovations such as low-cost traceability systems for smallholder farmers and blockchain-enabled audit trails in automotive service centers. The framework emphasizes data sovereignty, cross-sector stakeholder alignment, and monitoring, evaluation, accountability, and learning (MEAL) mechanisms to ensure institutional resilience and compliance. The paper contributes practical insights into bridging technology, policy, and sustainable development, offering actionable strategies for transformation leaders, policymakers, and development practitioners aiming for measurable growth and systemic change in emerging economies.