Artificial intelligence (AI) is increasingly transforming corporate management in India by influencing managerial decision-making, workflow automation, compliance monitoring, customer engagement, financial analysis, risk assessment, and strategic planning across diverse business sectors. In the Indian regulatory landscape, AI adoption is developing within a governance framework shaped by policy initiatives and soft-law guidance issued by NITI Aayog and the Ministry of Electronics and Information Technology (MeitY), alongside sector-specific oversight by regulatory authorities such as the Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI). The enactment of the Digital Personal Data Protection Act, 2023 has further established an important legal foundation for the lawful processing and protection of personal data used in AI-driven managerial systems. This paper examines the opportunities, challenges, and ethical implications associated with the integration of AI into corporate management practices in India. Adopting a doctrinal and analytical research methodology, the study relies on statutory materials, regulatory papers, policy documents, and corporate case illustrations to evaluate the growing role of AI in contemporary business governance. The paper specifically analyses regulatory instruments including the DPDP Act, 2023, SEBI consultation papers concerning responsible AI usage, RBI observations on AI deployment in regulated entities, and policy frameworks developed by NITI Aayog and MeitY . The study finds that AI can significantly improve operational efficiency, predictive decision-making, compliance management, customer responsiveness, resource optimisation, and strategic agility within corporations. However, it also identifies substantial concerns relating to algorithmic bias, opacity, cybersecurity vulnerabilities, workforce displacement, data governance failures, and accountability deficits arising from automated decision-making systems. The paper concludes that India’s corporate sector should adopt a governance-oriented model of AI integration that combines innovation with board-level oversight, privacy safeguards, explainability standards, impact assessments, cybersecurity preparedness, and meaningful human supervision to ensure responsible and ethically compliant deployment of AI technologies in corporate management.