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@article{180237,
        author = {Nihar Malali},
        title = {ARCHITECTING COGNITIVE ERP SYSTEMS FOR ACTUARIAL DECISION INTELLIGENCE AND SUSTAINABLE INVESTMENT MANAGEMENT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {561-575},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180237},
        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.},
        keywords = {Cognitive ERP Architecture, Actuarial  Decision Intelligence, ESG Integration, IFRS 17  Compliance, AI-Driven Risk Modeling},
        month = {May},
        }