The rapid integration of Artificial Intelligence (AI) into education highlights the urgent need for structured frameworks that can guide school systems in preparing students for AI-driven futures. This paper presents a school-level AI in Education framework that integrates pedagogy, policy, and operations through an explicitly interdisciplinary and multi-stakeholder design. Drawing upon an evidence-informed model that couples technological innovation with collaboration and systemic alignment, the framework is adapted for K-12 contexts to guide curriculum development, teaching practice, and institutional decision-making in schools. It spans four core domains Curriculum Design & Content Delivery, Learner & Learning Context, Teacher & Teaching Enablers, and Governance & Quality Assurance, underpinned by two cross-cutting domains: AI Ethics and AI Competence.

The framework’s novelty lies in three contributions:
(i) an interdisciplinary orchestration that embeds AI literacy and creation across all subject areas (STEM, humanities, arts) rather than confining it to computer science;
(ii) a whole-school ecosystem that defines concrete roles for students, teachers, administrators, and leaders, ensuring continuous evaluation and improvement; and
(iii) an ethics-first stance with developmental AI-competence pathways for learners (understand-apply-create), fostering responsible and culturally responsive AI use.

Operationally, the framework outlines governance layers for schools (operational, technical, strategic) to ensure fairness, transparency, and accountability in AI-enabled processes such as assessments, learning analytics, and student support. Collectively, the model offers implementable pathways for curriculum integration, teacher professional development, and policy alignment-positioning schools to build equitable, future-ready AI capabilities while safeguarding student well-being and academic integrity.

Keywords: Artificial Intelligence in Education (AIED); K-12 Education; AI Literacy; Curriculum Integration; Teacher Professional Development; Whole-School Framework; Ethical AI.