AI-Enabled Cloud Framework for SAP Financial and Healthcare Data Governance with Risk and Testing Mechanisms

Abstract

The integration of artificial intelligence (AI) with cloud-based enterprise systems has transformed the way healthcare and financial organizations manage, govern, and analyze sensitive data. This paper proposes an AI-enabled cloud framework for SAP financial and healthcare data governance with integrated risk assessment and testing mechanisms. The framework leverages cloud-native services to support scalable data processing while enforcing governance policies related to data quality, access control, privacy, and regulatory compliance. AI-driven techniques are employed to automate data classification, anomaly detection, and risk evaluation across heterogeneous SAP financial and healthcare datasets. The proposed framework incorporates continuous testing and validation mechanisms to ensure data integrity, system reliability, and compliance with evolving standards. Secure data pipelines and API-based interoperability enable controlled data exchange between healthcare and financial systems without compromising confidentiality. The framework demonstrates how AI-enabled cloud architectures can enhance governance effectiveness, reduce operational risk, and improve trust in enterprise healthcare and financial data ecosystems.