The Nasscom Leadership and Technology Forum 2025 was held on February 25 in Mumbai, attracting a lot of attention from CEOs, advisors and strategists in the industry. One of the most prominent topics at the event was Agentic AI – a new step in artificial intelligence, promising to drive efficiency and large-scale innovation across industries.

Agentic AI – A New Trend in the AI ​​World

Agentic AI does not just stop at assisting humans but can also automatically make independent decisions, thanks to the combination of machine learning (ML) and large language models (LLM). If Generative AI (GenAI) has helped reduce the marginal cost of content creation to nearly zero, Agentic AI is bringing the marginal cost of action to zero. This is what makes this technology different and potential.

However, along with the opportunities, Agentic AI also poses significant challenges, requiring strict ethical frameworks and rules to ensure responsible AI behavior. Issues such as AI illusion, bias, misuse, and unintended consequences are becoming top concerns in the implementation of this technology. Agentic AI Applications Across Industries

At the Nasscom 2025 forum, a special panel discussion was moderated by Neha Bothra, Contributing Editor of Forbes India, with the participation of experts:

- Senthil Ramani, Global Head of Data and AI at Accenture

- Nitin Seth, Co-founder and CEO of Incedo

- Srikanth Velamakanni, Co-founder and CEO of Fractal Group

The experts focused on analyzing the impact of Agentic AI in sectors such as healthcare, finance and manufacturing, while emphasizing the need for testing to ensure the effectiveness and safety of this technology.

Senthil Ramani shared his views on the rapid pace of AI development:
"AI is changing every week. We are living in a non-linear world where in just 20 minutes, new breakthroughs can appear. This makes us rethink our approach and application of AI in practice."

From Improving Processes to Reshaping Business Models

While AI was previously focused on optimizing internal processes, Agentic AI is now gradually becoming a business model changer. Enterprises are not only using AI to improve productivity but also harnessing its power to reshape long-term strategies, creating completely new products and services.

However, to effectively exploit Agentic AI, businesses need to build a solid foundation, including ethical standards, monitoring mechanisms and strict risk control processes. Responsible AI development is not only a technical issue but also involves social and legal factors, ensuring that AI serves the common good without causing negative consequences.

Conclusion

Agentic AI is opening a new era, where AI is not only a support tool but can also act and make decisions on its own. In this context, businesses need to quickly adapt, take advantage of opportunities from this technology and build appropriate governance rules to ensure sustainability and responsibility in the application process.

The shift from improving internal processes to impacting business models is not only a trend but also an inevitable part of the AI ​​development journey, helping organizations optimize operations and create breakthrough value in the future.