AI-Enabled SAP Ecosystems for Business Intelligence Enhancement: Quantum Circuit Optimization in Healthcare and Financial Sectors
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Abstract
The convergence of Artificial Intelligence (AI), Quantum Computing, and SAP-enabled digital ecosystems is transforming the landscape of Business Intelligence (BI) across healthcare and financial sectors. This study proposes an integrated framework that leverages AI-driven predictive analytics, quantum circuit optimization, and SAP S/4HANA’s intelligent data processing capabilities to enhance decision-making precision, operational transparency, and system interoperability. The proposed architecture applies quantum-optimized algorithms to accelerate real-time data analytics, anomaly detection, and policy-based automation within secure data vault environments. In healthcare, the model enables advanced patient outcome forecasting, clinical workflow optimization, and data governance compliance. In financial systems, it enhances fraud detection, credit risk modeling, and regulatory auditability through quantum-enhanced BI pipelines. By aligning AI-driven SAP modules with quantum computational intelligence, this research establishes a scalable paradigm for enterprise modernization, offering a sustainable approach to intelligent data management, reduced latency in complex transactions, and resilient cybersecurity frameworks.
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