A Cloud-Native Enterprise Framework Enabling AI-Driven Automation Governance Secure Networks Mobile Platforms and Ethical Decision Intelligence
DOI:
https://doi.org/10.15662/IJRAI.2024.0705015Keywords:
Cloud-native architecture, AI-driven automation, enterprise governance, secure networks, mobile platforms, ethical AI, decision intelligence, microservices, zero-trust security, enterprise cloud computing, compliance analytics, digital transformationAbstract
The rapid convergence of artificial intelligence (AI), cloud computing, mobile platforms, and enterprise automation is transforming how organizations manage operations, governance, and decision-making. Modern enterprises require scalable and secure architectures that integrate AI-driven automation with governance frameworks while ensuring ethical decision intelligence across distributed systems. This paper proposes a cloud-native enterprise framework that enables intelligent automation, secure networking, mobile platform integration, and ethical decision systems within a unified governance model. The framework leverages microservices, container orchestration, zero-trust security, and AI-driven analytics to support real-time enterprise intelligence and regulatory compliance.
The proposed architecture introduces a governance-aware automation layer that integrates policy enforcement, auditability, and explainable AI to ensure transparency and accountability in decision processes. It supports enterprise mobility and distributed data environments while maintaining privacy-preserving mechanisms and secure data exchange across cloud ecosystems. The framework also incorporates ethical AI modules to evaluate bias, fairness, and compliance with organizational and regulatory standards.
Through architectural modeling and scenario-based analysis in healthcare, finance, and enterprise resource planning environments, the framework demonstrates improved decision accuracy, operational efficiency, and governance visibility. The results indicate that cloud-native AI frameworks can significantly enhance enterprise resilience, compliance, and decision intelligence when supported by secure networks and ethical oversight mechanisms. This research contributes a scalable, governance-aware architecture for next-generation enterprise systems that require trustworthy AI and cloud integration.
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