In the last few years, the narrative has shifted from enterprises embedding GenAI into core business processes and workflows to the emergence of Agentic AI systems. Per Deloitte’s “Fourth wave of the state of Generative AI in enterprises report (India insights),” more than 80 percent of the surveyed organisations in India are actively looking to develop AI-driven autonomous agents.
The country’s accelerated digitisation, driven by initiatives such as UPI-enabled payment infrastructure, quick commerce and UIDAI, has led to exponential growth in data volume and operational complexity. This evolving digital landscape creates a strong foundation for adopting Agentic AI systems across Indian enterprises.
Agentic AI enables businesses to operate efficiently by automating front, middle and back-office functions, including customer outreach and engagement, product innovation and finance operations. What’s unique and interesting here is that the shift is not just about task automation; it is about empowering systems to act autonomously and adaptively, driving smarter outcomes across functions.
As enterprises increasingly embrace the transformative potential of Agentic AI, a strategic and well-structured approach becomes essential to adopt and realise its full outcome value.
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