What Are Agentic Workflows?
Think of the AI tools many have grown used to, like code assistants, as helpful navigators offering suggestions. Now, imagine if that navigator could not only suggest a route but also drive the car, handle refuelling, and re-route around unexpected traffic,
all while keeping the final destination in mind. That's the leap to agentic workflows. These are systems where autonomous AI 'agents' can plan, execute, and coordinate complex, multi-step tasks with minimal human intervention. Unlike traditional automation that follows rigid, predefined rules, agentic AI can make decisions, use different tools, and adapt to new information to achieve a high-level goal.
From Assistance to Autonomy
The journey to this point has been rapid. The first wave of generative AI in the workplace focused on assistance: helping a developer write a function or a marketer draft an email. Agentic AI represents a fundamental shift from assistance to autonomy. An AI agent, or a team of agents, can be given a complex objective, such as 'patch this security bug' or 'migrate this database'. The system can then independently break down the task, write the code, run tests, identify and fix its own errors, and even open a pull request for a human to review. This moves the human role from writing every line of code to defining the problem and validating the outcome.
India's Tech Sector at the Epicenter
This technological shift is particularly significant for India's massive tech services industry. Recent data from industry body Nasscom indicates that Indian IT firms are moving quickly past experimentation. Around 85% of tech service providers now have agentic AI platforms, and nearly a quarter are moving projects into full production. Companies like TCS, Infosys, and Wipro are deploying AI tools like Microsoft 365 Copilot to hundreds of thousands of employees, representing one of the largest enterprise AI rollouts globally. This aggressive adoption is driven by the potential to boost productivity, redefine service delivery, and capture a new market that Nasscom estimates could be worth an additional $300 to $400 billion by 2030.
Threat, Opportunity, or Both?
The rise of autonomous AI inevitably raises concerns about job displacement, especially for entry-level roles focused on repetitive tasks like basic coding and testing. However, industry leaders argue that the reality is more about role evolution than elimination. As AI handles more of the routine implementation, the demand for human skills is shifting up the value chain. There's a growing need for professionals who can perform AI oversight, handle complex system design, ensure AI governance, and apply critical thinking and domain expertise to solve business problems. The value is moving from code creation to validation, integration, security, and ensuring the reliability of AI-driven systems.
Building a Future-Ready Workforce
Navigating this transition requires a massive focus on upskilling. Recognising this, Indian IT giants are making significant investments. During 2023-24 alone, TCS trained 350,000 employees in AI-related technologies, while Wipro trained 220,000. The goal is to build an 'AI-first' culture where employees and AI agents work as integrated teams. For individual tech professionals, the path forward involves embracing continuous learning and developing skills in areas that AI currently can't replicate: strategic thinking, creative problem-solving, and providing the business context that guides the AI's work. The job is no longer just about knowing how to code, but about knowing what to build and why.
