What Is Agentic AI & Why Does It Matter?
Agentic AI refers to the autonomous AI agents that take perception, decision, and action into their own mechanical hands. So think beyond RPA and basic generating models; these agents understand your goals, plan a path, and execute entire workflows. I mean fewer people, more AI. EY predicts that by 2028, billions of these agents will exist, and as much as 80% of the customer service tasks will be handled and automated by these AI agents on their own. Soon, you’ll be studying those as “Agentic AI use cases.” The reason it matters is that agentic AI initiates the work, manages a conversation, coordinates with systems, and solves logistics. It’s a whole level up; it can be helpful, or as all superheroes say, great power comes with responsibilities. It can also be used against humankind.
Core Pillars for Adoption in India
Data Readiness For Agentic AI Use Cases
India still lags in data readiness. But when we talk about agentic AI use cases, clean high quality AI-ready datasets are very important and the bedrock. As EY suggests, Data 4.0 reports point out that without trustworthy data, you can’t prototype or even develop agentic systems effectively to use agentic AI. You need to have good, reliable, clean, and ready-to-go data. Therefore, India still has a long way to go.
Architecture & Governance
To run agentic AI use cases, you need a multi-agent architecture, plus a cloud edge arrangement and solid governance. Agentic AI systems thrive on collaboration between engines. But you need to have risk control and a vendor-agnostic platform to prevent lock-in and data theft. In simple terms, a person or a team of trained professionals monitors all the ongoing activities for assurance and oversight. All of this might sound scary, but to progress, we need to lose some sort of control.
Developer Ecosystem & Innovation Hubs
According to Economic Times, India has over 18 million developers, which is fertile ground for creating agentic AI use cases. With hubs like IBM’s new Bangalore Centre and Google I/O Connect India, focusing on agentic AI tech tool integration in Firebase and platforms like AI studios. The stage is set now that Google’s also taking an interest in the AI automation phase.
Key Agentic AI Use Cases
Intelligent Industrial Agents
Big autonomous companies like Tesla, Siemens, and Honeywell all use agentic AI use cases for manufacturing, planning, optimizing, and adapting to workflows in real time without constant human supervision. Obviously, they have supervision, but they don’t use it constantly; rather, they use the AI machine learning, IoT, and robotics for the advanced heavy lifting process control. Agentic AI systems are transforming some major companies as well.
Business Operations With Agentic AI Use Cases
Picture AI agents executing finance, HR, IT, or even marketing end-to-end operations with minimal human oversight. That’s exactly what organisations are setting up for the future. As per EY, Gartner says by 2028, about 33% of enterprise apps will be embedded with agentic AI to automate 15% of daily decisions and help users without useless human oversight or the “very useful” customer care we all love.
Market Momentum & Competitive Advantage
Picking workflows that matter, whether it’s predictive maintenance or financial recordings. Launching pilot agentic AI use cases measures value, iterates, and then scales. As reported by Tekrevol, it also helps in yielding fast ROI by automating rule-based tasks like CRM invoice generation or IT ticketing, cutting first response time nearly in half, boosting team confidence and trust in the automation system, which will ease the work of employees significantly.
Outlook for India’s Agentic Future
Here’s the thing, India will lead the agentic AI use cases revolution. With ready-to-use data sets, scalable infrastructure, and great quality developers. We have some good quality developers, I mean, the CEO of Google is Indian. Those who enter the game first get an advantage with cost savings, agility, and productivity. And those who wait well, they mostly risk everything, and the bottom line is that India is the next-level industrial engine for the future.
Until we meet next, scroll!
