Beyond Automation: The Role of Agentic AI in Strategic Decision-Making and Organizational Governance in India

Abstract

Agentic AI is emerging as a transformative paradigm beyond traditional automation and generative AI, enabling autonomous systems to reason, plan, adapt, and execute complex tasks with minimal human intervention. In the context of Indian organizations, this shift has significant implications for strategic decision-making and organizational governance, where speed, adaptability, and informed judgment are increasingly critical. This paper examines how agentic AI can support decision-makers by improving analytical capacity, enhancing operational responsiveness, and enabling more coordinated governance across business functions. Using a conceptual and literature-based approach, the study synthesizes recent developments in agentic systems, human–AI collaboration, and AI governance to identify the opportunities and risks associated with adoption in India. The analysis shows that agentic AI can strengthen strategic foresight, improve resource allocation, and support evidence-based governance, particularly in dynamic and data-intensive sectors. However, its implementation also raises concerns related to accountability, transparency, bias, cybersecurity, workforce displacement, and ethical oversight. The paper argues that the benefits of agentic AI depend on the development of robust governance frameworks that balance autonomy with human control. It concludes by proposing that Indian organizations adopt a responsible, hybrid decision-making model in which agentic AI augments rather than replaces managerial judgment. Such an approach can help organizations achieve innovation, resilience, and sustainable competitive advantage while maintaining trust and regulatory compliance.

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