Artificial intelligence (AI) has become an integral part of most major global economies, and India is no exception. Business leadership demands immediate AI adoption to maintain competitiveness. However, 46% of Indian organizations have already faced delays in AI implementation due to identification issues—the highest rate globally. The pressure for deployment is immense and exceeds the discipline required for safe integration.
For enterprises in major cities, AI agents are no longer a future prospect; they are being integrated into daily workflows. Meanwhile, the process of hiring people remains strictly controlled: background checks are conducted, offers are formalized, registration with EPFO occurs, roles are defined, and clear lines of reporting are established. This contrast is more significant than most IT directors realize.
When a new employee joins a company, a structured process is initiated even before they enter the corporate system. Contracts are signed, a manager is assigned, and access is provided by IT. Someone is responsible for that person's actions and for the data they can view. In highly regulated sectors in India, such as BFSI, pharmaceuticals, and IT services, this audit trail is not optional.
Imagine now that hundreds of new workers are hired overnight: without contracts, without managers, without clear tracking of what they can access or what decisions they are allowed to make, yet they operate within systems, move confidential data, and act on behalf of the organization. This is how many Indian enterprises use AI agents today.
India's regulatory environment is rapidly tightening. The cost of an undetected decision is not just operational, but also legal and reputational risk. Indian organizations are already reporting the highest impact of identification issues on business globally, clearly indicating that security teams have not yet implemented the modern controls necessary to maintain governance amid high velocity.
When something goes wrong, boards of directors and regulators will not ask if the AI was innovative. They will ask who approved it, who owns it, and who is accountable for it. Here lies a quiet but serious governance gap that cannot be ignored, according to the data. Most (63%) IT decision-makers in India believe that gaps in identifying data within AI-related environments will persist. The problem is not theoretical; it already exists, and most organizations are aware of it.
Traditional identity and access models were designed for two types of participants: humans and predictable machines. AI agents introduce a new category. Some agents act on behalf of employees, using delegated access to compose emails, generate reports, or interact with corporate applications. Others operate autonomously, using their own credentials for independent access to systems and data.
In the landscape of Indian IT services and GCCs, where AI agents are increasingly embedded in client service supply chains, the stakes are particularly high. Both types of agents can cause real consequences, but neither fits into existing governance frameworks. The response of many organizations has been to agree to relaxed controls rather than slowing down deployment. A recent study found that 79% of Indian organizations reported accepting persistent access under operational pressure, and 68% stated there were no reliable alternatives to persistent access at all. When access becomes permanent and unverified, visibility disappears, and accountability soon follows.
Human Resources functions in India, especially in large enterprises and IT organizations, have always operated with strict lifecycle discipline. AI agents deserve the same rigor. Before an agent is allowed to operate, organizations must know about its existence. Only 22% of Indian organizations report continuously detecting unauthorized AI, meaning the vast majority have limited visibility into shadow AI spreading through their systems. Detection is the crucial first step, the digital equivalent of knowing who is on the payroll.
Next comes the onboarding process. Just as HR assigns an employee a number, a position, and a manager, AI agents require unique identifiers, clearly defined ownership, and explicit permissions. India has a relative advantage in this regard, leading the world in identification visibility metrics, with 40% of organizations already using continuous Non-Human Identity (NHI) verification, which is above the global average. The challenge is to translate this visibility into automated access management, and too few are making this leap. Access must be strictly limited to what is required for the task, regularly reviewed, and never granted arbitrarily. And when an agent is decommissioned or abandoned, access must be revoked just like for any departing employee.
India's ambitions to become a global AI power are justified. Talent exists, and investment is flowing. But deployment without governance is not a competitive advantage; it is a brewing threat. No responsible organization would allow a new employee to wander freely in the office, access confidential files, and sign documents on behalf of the company without oversight. Yet, this is effectively what happens when AI agents are deployed without structural identification, ownership, and accountability.
AI agents join the Indian workforce regardless of organizational readiness. What is missing is oversight. To turn AI adoption into a genuine competitive advantage, Indian organizations must manage their digital workers as they manage their human employees. The friction arising from doing this correctly is not a barrier to growth; it is its foundation.
