Artificial intelligence in business management: a comparative case study of five leading Indian corporations

Abstract

Artificial Intelligence is no longer viewed only as a technological innovation. It has gradually become a major force reshaping business management, organizational strategy, employee development, customer engagement, operations, and financial decision-making. In the Indian corporate context, AI has gained particular importance because India is one of the fastest-growing digital economies in the world and has a strong base of technology companies, digital platforms, start-ups, and skilled professionals. This study examines how AI is influencing business management practices in five major Indian corporations: Tata Consultancy Services, Infosys, Wipro, HCLTech, and Reliance Industries through Jio.

The study is based on publicly available information, including company reports, financial disclosures, earnings discussions, case studies, government documents, industry reports, and academic literature published between 2020 and 2026. A qualitative comparative case study method has been adopted, supported by secondary financial data. The Technology–Organization–Environment framework and the Dynamic Capabilities framework are used to understand how these companies are adopting AI and how AI is changing their managerial practices.

The findings show that AI is influencing almost every major area of business management. In strategic management, AI is helping companies move from traditional service delivery models towards platform-based, outcome-driven, and automation-supported models. In human resource management, AI is being used for recruitment, training, skill mapping, employee engagement, and performance improvement. In supply chain and operations, AI supports demand forecasting, project monitoring, resource planning, network optimization, and process automation. In customer relationship management, AI is improving personalization, predictive engagement, customer support, sentiment analysis, and retention strategies. In financial management, AI is being used for forecasting, risk identification, contract analysis, revenue recognition, and margin control.

The study also highlights the scale of AI-related investments and outcomes in these corporations. TCS reported an annualized AI revenue run-rate of around ₹19,100 crore in Q4 FY2026. Infosys committed approximately ₹16,600 crore to its Topaz AI platform and related capabilities. Wipro announced an investment of ₹8,300 crore in its ai360 initiative over three years. HCLTech reported ₹1,215 crore in Advanced AI revenue in Q3 FY2026, with 19.9% quarter-on-quarter growth. Reliance Jio announced a major ₹10 lakh crore investment in AI and digital infrastructure over seven years.

The study further places corporate AI adoption within India’s national policy environment. The IndiaAI Mission, with an allocation of ₹10,371.92 crore and planned access to large-scale GPU infrastructure, along with the Digital India programme, provides an enabling environment for AI-led growth. However, the study also identifies important challenges, including compliance with the Digital Personal Data Protection Act, shortage of advanced AI talent, concentration of data infrastructure in major cities, and pressure on the traditional headcount-based revenue model of Indian IT services companies.

Overall, the study concludes that AI is becoming a strategic business capability rather than merely a technical tool. It is changing how Indian companies compete, operate, serve customers, manage employees, and create long-term value.