Abstract
Artificial Intelligence (AI) is fundamentally transforming enterprise architecture by evolving from a supporting technology into a foundational capability embedded across business processes, applications, enterprise data, decision-making, customer engagement, and digital operations. This research proposes the AI-Native Enterprise Architecture Framework (AINEAF), a comprehensive enterprise architecture framework integrating the SAP Enterprise Architecture Framework (SAP EAF), TOGAF®, SAP Business Technology Platform (SAP BTP), SAP AI Foundation, SAP AI Core, SAP AI Launchpad, SAP Business Data Cloud, SAP Datasphere, SAP Integration Suite, SAP HANA Cloud, SAP Analytics Cloud, Platform Engineering, DevSecOps, Responsible AI, and enterprise governance. Unlike conventional architectures that treat AI as an isolated application layer, the proposed framework positions AI as an architectural capability spanning business architecture, application architecture, enterprise data, integration, cloud platforms, security, operations, governance, and business value realization. The framework introduces an AI-native operating model that aligns enterprise strategy, business capabilities, enterprise data, AI lifecycle management, organizational readiness, governance, and continuous optimization. The proposed approach enables organizations to accelerate digital transformation, strengthen governance, increase AI adoption, improve business agility, modernize legacy architectures, enhance operational resilience, and establish sustainable intelligent enterprises.