Africa’s education systems face chronic challenges of access, equity, quality, and relevance, exacerbated by underfunding, insecurity, governance failures, and structural inequalities. Traditional interventions have yielded incremental progress, yet millions of children remain out of school, and most learners fail to achieve foundational literacy and numeracy. In this context, PearlAI is proposed as a non-profit, open-source framework designed to leverage artificial intelligence (AI) to systematically address the perennial barriers facing education in Africa. The PearlAI Framework integrates six solution domains: Access & Equity, Teacher Workforce, Literacy & Numeracy, Curriculum & Relevance, Assessment & Evaluation, and Student Engagement & Motivation. Grounded in academic literature on mother-tongue instruction, formative assessment, retrieval practice, culturally responsive pedagogy, and AI-driven feedback systems, PearlAI provides both a comprehensive toolkit for system-wide adoption and modular tools for context-specific deployment. This paper synthesizes evidence from African and global education research to articulate the design principles, operational model, and impact pathways of PearlAI. The framework aims to democratize access to AI, improve learning outcomes, and foster innovation across African schools while contributing globally to open educational technologies.