ENTERPRISE ARCHITECTURE MATURITY AND AI-DRIVEN AUTOMATION STRATEGIES FOR DIGITAL TRANSFORMATION IN INDIA’S OIL AND GAS INDUSTRY

Abstract

Digital transformation in the oil and gas sector necessitates a solid architectural foundation with capacity for integrating and scaling new technologies like Artificial Intelligence (AI), cloud infrastructure, and data analytics. This research explored the principal contribution of Enterprise Architecture (EA) maturity in driving the adoption and scaling of an AI-driven automation strategy in India's energy sector. Utilizing a hybrid EA assessment scheme encompassing an integration of The Open Group Architecture Framework (TOGAF) with the India Enterprise Architecture (IndEA) blueprint proposed by the Ministry of Electronics and Information Technology (MeitY), four major companies were subjected to assessment: Oil and Natural Gas Corporation (ONGC), Indian Oil Corporation Limited (IOCL), Hindustan Petroleum Corporation Limited (HPCL), and Reliance Industries Limited; in the business, application, data, and technology architecture areas. A five-point scale was used, where Reliance scored the highest overall maturity (4.75) and HPCL the lowest (2.25). A strong positive correlation between EA maturity (ρ = 0.88) and scaled applications of AI like predictive maintenance, digital twinning modeling, intelligent document processing, and cognitive supply chain optimization was established in the case study outcome. Reliance Industries emerged as a business champion of digitization with transformative-level architecture, while public sector undertakings reflected mixed maturity levels, commonly limited by legacy infrastructure and siloed data environments