The business imperative for Agentic AI
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.
Key considerations for undertaking a successful Agentic AI journey
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.
Six critical questions every enterprise must answer to harness the full power of Agentic AI
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Organisations must take structured approaches for selecting business processes for agentic transformation as per organisational needs and maturity levels. First approach is to qualify existing use cases if they are good candidates for Agentic AI and second is prioritising already existing use cases based on impact, ease of implementation and differentiability.
Building the right technical foundation today enables organisations to unlock the true potential of Agentic AI tomorrow. From preparing themselves in terms of establishing a data and AI foundation layer to ensuring seamless interoperability across systems, every step lays the groundwork for a scalable, sustainable and future-ready Agentic AI ecosystem.
This chapter presents simple framework for identifying the right measures of success, monitoring performance at every step and using results to guide decisions and actions consistently across the business.
This chapter covers how the right architecture, operating model and talent strategy help organisations strategically move agentic AI initiatives from experimentation to scaling. When these come together, it unlocks speed, scale and enables smarter decisions to shape outcomes that matter.
AI agents are no longer confined to experimental pilots. They are becoming embedded across enterprise workflows, acting as digital teammates that reason, decide and act. This chapter covers the organisational imperatives and skillsets for empowering a smooth human-agent interaction for long term success in agentic era.
This chapter looks at the six questions covered earlier through a lens of responsibility and guardrails, outlining risk landscape specific to agentic AI and translating responsible AI principles into concrete design patterns, controls and governance mechanisms suitable for enterprise deployment.
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