AI-NATIVE CLOUD ARCHITECTURES FOR INTELLIGENT ENTERPRISE SYSTEMS: A SCALABLE AND COMPLIANT FRAMEWORK FOR HEALTHCARE PLATFORMS

Purpose: This paper proposes a novel, holistic architectural framework for building AI-Native enterprise systems in the healthcare sector.It aims to address the critical dual challenge of achieving scalable, high-performance AI operations while ensuring stringent data security, privacy, and regulatory compliance. Design/methodology/approach:The research employs a design science research methodology.A conceptual framework is developed through a synthesis of contemporary cloud-native principles, AI/ML lifecycle management, and healthcarespecific regulatory requirements (e.g., HIPAA, GDPR).The framework is then validated through a simulated case study of a diagnostic imaging analytics platform, evaluating its scalability, compliance posture, and operational efficiency. Findings:The proposed "Health-Responsible AI Fabric" (HRAF) framework successfully integrates scalability drivers (e.g., microservices, serverless functions, MLOps) with compliance-by-design controls (e.g., data sovereignty, audit trails, encrypted compute).The simulation demonstrates that an AI-native approach can AI-Native Cloud Architectures for Intelligent Enterprise Systems: A Scalable and Compliant Framework for Healthcare Platforms https://iaeme.com/Home/journal/IJERP 2 editor@iaeme.comreduce model deployment cycles by ~40% while providing a verifiable compliance audit chain, compared to traditional, monolithic healthcare IT systems.Practical implications: Healthcare organizations and digital health providers can leverage this framework as a blueprint for modernizing their IT infrastructure.It provides actionable guidance on technology selection, data pipeline design, and governance processes to build future-proof, intelligent platforms that are both innovative and trustworthy.Originality/value: This research moves beyond siloed discussions of cloud, AI, or compliance by offering an integrated architectural framework specifically tailored for the healthcare enterprise.Its core contribution is the formalization of "Responsible AI" as an inherent, non-negotiable architectural pillar within the cloud-native paradigm for healthcare.