ARCHITECTING COGNITIVE ERP SYSTEMS FOR ACTUARIAL DECISION INTELLIGENCE AND SUSTAINABLE INVESTMENT MANAGEMENT

  • Unique Paper ID: 180237
  • Volume: 12
  • Issue: 1
  • PageNo: 561-575
  • Abstract:
  • Integrating artificial intelligence (AI) and analytics into enterprise resource planning (ERP) systems empowers financial services firms with enhanced decision-making capabilities. This research proposes a cognitive ERP framework that merges AI, big data, and environmental, social, and governance (ESG) criteria to support actuarial analysis and promote sustainable investment strategies. The proposed system addresses real-time needs in two key areas: forecasting insurance reserves and managing ESG-aligned investment portfolios. By embedding ESG performance tracking into the ERP core, the framework enables decision-makers to align financial performance with sustainability objectives. The study is driven by two key factors: regulatory compliance requirements under IFRS 17 and Solvency II, and the growing necessity to integrate ESG elements into financial decision-making. Methodologically, the research combines ERP design analysis with infrastructure development for AI in finance and ESG practice. A case-based validation approach demonstrates how ESG analytics modules and AI-powered anomaly detection can work within ERP systems that meet regulatory standards. The framework delivers three main contributions: a modular ERP structure connecting actuarial methods to ESG investment analytics, AI-driven anomaly detection for financial irregularities, and built-in compliance with financial regulations. Results highlight improved forecasting accuracy, reduced manual regulatory reporting, and a standardized approach for incorporating ESG criteria into investment decisions. Overall, the integration of AI and ESG within ERP infrastructure enhances decision precision and operational efficiency in financial services.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 561-575

ARCHITECTING COGNITIVE ERP SYSTEMS FOR ACTUARIAL DECISION INTELLIGENCE AND SUSTAINABLE INVESTMENT MANAGEMENT

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