The Autonomous Enterprise Is Coming, And Genpact Research Finds 12% Are Leading The Way

Genpact (NYSE: G) released research on Jan 13, 2026 showing how organizations scale AI to become an "autonomous enterprise." The study surveyed 500 senior executives from firms with >$1B revenue across 13 countries and 8 industries.

Rhea-AI Summary

Genpact (NYSE: G) released research on Jan 13, 2026 showing how organizations scale AI to become an "autonomous enterprise." The study surveyed 500 senior executives from firms with >$1B revenue across 13 countries and 8 industries. Key facts: 12% of respondents are leading the transition, only 3% are implementing agentic orchestration, and 45% provide AI training for all employees. The report identifies four enablers: agent orchestration, democratized AI fluency, data-centric enterprise architecture, and accelerated governance for responsible scaling.

The research highlights capability gaps, governance shortfalls, and a near-term expectation that self-managing processes could emerge within three years for at least a quarter of executives.

Positive

• 12% of organizations identified as AI leaders
• 500 senior-executive survey sample from >$1B firms
• Four concrete enablers for scaling agentic AI

Negative

• Only 3% are implementing agentic orchestration
• Only 45% offer AI training for all employees
• Nearly all executives report inadequate AI governance

Argus Jan 13 session

-1.29% close to close Open Argus

Details

News Market Reaction – G

On Jan 13, the day this news came out, G closed 1.29% below the previous close.

Data tracked by StockTitan Argus for the Jan 13 session.

Key Figures

Leading organizations share: 12% Executives surveyed: 500+ Expectation horizon: 3 years +5 more

Leading organizations share

12%

Top organizations identified as AI autonomy leaders in survey

Executives surveyed

500+

Global survey sample of senior executives

Expectation horizon

3 years

Timeline in which at least a quarter expect self-managing processes

Agentic orchestration adopters

3%

Respondents actively implementing agentic orchestration platforms

Workforce AI training

45%

Organizations offering AI training for all employees

Company revenue threshold

US$1 billion+

Annual revenue of organizations included in survey

Business functions

13

Distinct business functions represented in the survey

Industries and countries

8 industries, 13 countries

Geographic and industry coverage of survey

Historical Context

5 past events · Latest: Jan 07

5 events

1. Jan 07

   Earnings timing

   24h Move

   +0.5%

   Announcement of Q4 2025 earnings release and conference call schedule.

2. Dec 10

   Leadership changes

   24h Move

   +1.3%

   New senior hires to advance GenpactNext and AI-first growth strategy.

3. Dec 04

   Industry recognition

   24h Move

   +0.8%

   HFS Horizon 3 Market Leader recognition in intelligent supply chain services.

4. Nov 13

   Debt financing

   24h Move

   -0.4%

   Pricing of $350M 4.950% senior notes due 2030 under effective shelf.

5. Nov 13

   Partner award

   24h Move

   -1.1%

   Salesforce Partner Innovation Award tied to multi-platform OMS solution.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

agentic ai, autonomous enterprise, enterprise architecture

3 terms

agentic ai technical

"where agentic AI is embedded into core operational workflows and the technology decides"

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

autonomous enterprise technical

"toward becoming an autonomous enterprise, where agentic AI is embedded into core"

An autonomous enterprise is a business that uses software, data and automated decision-making to run routine operations with minimal human oversight — like a self-driving car applied to back-office tasks, customer service, supply chains and IT. For investors, it matters because automation can lower costs, speed decisions, reduce human error and scale activity faster, but also creates dependence on technology, cybersecurity and execution risk that can affect profitability and valuation.

enterprise architecture technical

"Enterprise architecture redux that builds data-centric foundations capable of supporting AI"

Enterprise architecture is a high-level blueprint showing how an organization’s technology, data, processes and people fit together to achieve its goals — like a city master plan mapping roads, utilities and zoning so everything works in sync. Investors care because it affects how efficiently a business can scale, control costs, manage risk and launch new products; a clear, well-executed architecture reduces wasted spending and execution uncertainty, making future performance easier to judge.

AI-generated analysis. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

New research reveals four critical enablers to moving beyond AI experimentation to build the foundation of the autonomous enterprise

NEW YORK, Jan. 13, 2026 /PRNewswire/ -- Genpact (NYSE: G), an agentic and advanced technology solutions company, today released new research showing how leading organizations leverage artificial intelligence (AI) to reshape the way they operate and grow. Drawing on insights from more than 500 senior executives, Autonomy by design: Scaling AI for enterprise value highlights distinct behaviors of the top 12% of organizations. These leaders are successfully navigating the journey toward becoming an autonomous enterprise, where agentic AI is embedded into core operational workflows and the technology decides, acts, and learns alongside people.

"Our findings confirm that transformation goes well beyond technology," said Sanjeev Vohra, Chief Technology and Innovation Officer, Genpact. "The leading enterprises are reimagining processes, making deliberate investments, and unlearning old ways of working, all while ensuring responsible use of data and AI. This research provides the leaders' playbook that serves as a practical blueprint for innovation."

Becoming an autonomous enterprise: The promise and barriers
At least a quarter of senior executives surveyed expect self-managing business processes that run with minimal human oversight could become a reality within three years. But today, only 3% of respondents are actively implementing agentic orchestration, platforms critical to embedding AI across end-to-end processes.

Confidence in the promise of AI is high, but the foundational work needed to achieve AI maturity often stalls. Nearly all executives indicate that they don't have adequate governance models and structures in place for autonomous or agentic AI systems. Furthermore, the most frequently cited organizational constraint to AI adoption is workforce capability gaps, but only 45% offer AI training for all employees.

"AI poses an interesting paradox," said Nelson Repenning, Faculty Director, MIT Leadership Center, and Distinguished Professor of System Dynamics and Organization Studies, MIT Sloan School of Management. "On the one hand, its main benefit will come from automating the work that humans currently do. On the other hand, you can't automate the process of implementing automation. Humans must still make the tough, messy decisions about where and how to apply AI."

Key findings: Four enablers set leaders apart
Genpact has identified four interconnected enablers to become an autonomous enterprise:

• A symphony of agents that orchestrates end-to-end business processes
• The universal AI practitioner that democratizes AI fluency across roles and functions
• Enterprise architecture redux that builds data-centric foundations capable of supporting AI as it scales
• Governing at the speed of AI that establishes the oversight and mechanisms required to scale AI quickly and responsibly 

"We are witnessing firsthand the transformative role of AI as the connective tissue of modern business operations," continued Vohra. "At Genpact, we call this Agentic Operations. Our last mile advantage and depth of process and data knowledge enable our clients to achieve higher levels of autonomy, which drive tangible business outcomes, today."

For more on the report including a playbook for organizations aiming to leverage agentic systems and human creativity to achieve higher-level outcomes, please visit www.genpact.com/insight/how-to-scale-ai-for-enterprise-value.

Methodology

This report draws insights from a global survey of 500 senior executives working across 13 business functions, in organizations generating over US$1 billion in annual revenue, in 8 industries and 13 countries. The research also includes qualitative interviews with 10 senior executives across industries to provide expert perspectives on the context of enterprise AI today.

About Genpact

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

MEDIA CONTACT:

Geraldine Lim
Genpact Media Relations
+1-951-318-3494
geraldine.lim@genpact.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/the-autonomous-enterprise-is-coming-and-genpact-research-finds-12-are-leading-the-way-302658808.html

SOURCE Genpact

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Genpact (G) announce on Jan 13, 2026 about autonomous enterprises?

Genpact released research showing 12% of companies lead agentic AI adoption and identified four enablers to scale AI.

How many executives and companies were surveyed in Genpact's Jan 2026 report (G)?

The report surveyed 500 senior executives from organizations generating over US$1 billion in annual revenue across 13 countries.

What percentage of firms are actively implementing agentic orchestration according to Genpact (G)?

The research found only 3% of respondents are actively implementing agentic orchestration today.

Does Genpact's research (G) identify workforce training as an issue?

Yes—only 45% of organisations reported offering AI training for all employees, citing capability gaps as a top constraint.

What are the four enablers Genpact (G) says support becoming an autonomous enterprise?

The report lists: agent orchestration, a universal AI practitioner, data-centric enterprise architecture, and faster AI governance.