New York, November 12, 2026 / PRNewswire / -- Genpact ( NYSE : G) Today, a research report titled " Autonomy in Practice : How agentic operations can turn AI progress into business value " was released. The report is based on a survey of over 2,000 executives from 17 industries. The report finds that the speed at which AI agents are being deployed into production environments is faster than the speed at which companies are restructuring their operations, and that most companies have not yet truly realized the "autonomy dividend" – that is, the benefits brought by AI have not been effectively translated into better business performance, beyond just higher productivity.

The main findings of the report Genpact 《 Autonomy in Practice 》 include:

• 79% of the surveyed enterprises have deployed AI proxies in their production environments, but only 20% use these proxies extensively and continuously across various functions.
• Only 15% of enterprises have fully linked their AI investments with the results of their income statements and profit and loss statements.
• On average, among the AI projects that received funding support in the past 24 months, only 49% achieved the expected value.
• Only 9% of enterprises have completed significant transformations in their business models.
• AI The expansion of agents and personnel allocation are advancing in tandem: Among those who have deployed agents into the production environment, 92% indicated that their workforce has remained unchanged or has grown.

The report states that these findings indicate that "autonomy" in practice does not equate to "complete autonomy." It means that companies need to make conscious decisions regarding which tasks are to be executed by agents, which tasks are to be decided and verified by humans, and what kind of business outcomes this hybrid human-machine workforce will ultimately produce.

Genpact indicates that the top 17% of companies, which rank at the forefront in their AI maturity index, namely the "AI leaders," have gone further in building "Agentic Operations." This company defines "Agentic Operations" as an operational model that treats people and agents as one workforce. Research on Genpact has measured the five key components required for this model, but most companies have not yet connected them together.

AI Different Approaches of Leaders

Genpact indicates that, with the authorization support at the CEO level, the leader of AI is more advanced in all five key components. They are:

• Reimagine work across the entire enterprise, rather than proceeding function by function.
• Consciously build a human-machine collaborative workforce by creating new positions, such as exception handlers and proxy trainers.
• Strengthen data and AI infrastructure to achieve repeatable scalability, enabling agents to perform operations across systems, not just retrieve information.
• Governance and security management should be carried out throughout the entire lifecycle of the proxy, not just during deployment.
• Turn value acquisition into a profit and loss discipline, and link the earnings brought by AI to specific responsible persons and detailed profit and loss accounts.

Genpact Chief Technology and Innovation Officer Sanjeev Vohra stated: "Enterprises are becoming increasingly adept at deploying AI proxies. The real challenge is how to operate them. Agentic Operations connects AI with context-rich process intelligence, human judgment, and governance to reap the benefits of autonomy."

About this survey

The study was conducted in 2026, targeting senior managers of companies with annual revenues ranging from $1 billion to over $50 billion, covering 17 industries and 14 business functions, and was supplemented by in-depth interviews with corporate leaders. The report indicates that the results are based on self-reported data from the respondents, and the percentages have been rounded.

The complete report can be downloaded at the following URLs: https :// www.genpact.com / insight / autonomy-in-practice.

About Genpact

Genpact ( NYSE : G) positions itself as a “Agentic Operations” company, dedicated to combining cutting-edge AI with context-rich process intelligence. The company states that for decades it has been operating critical task processes for global leading enterprises, covering areas such as finance, risk management, supply chain, banking, insurance, and procurement. Today, through Agentic Operations, experts from the company are responsible for executing the work and are accountable for the results, thereby helping customers grow faster, operate more efficiently, and improve their cash conversion capabilities.

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