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79% of Enterprises Report AI Agents in Production, but Only 15% Have Fully Tied AI Investment to P&L Outcomes

Among respondents with AI agents in production, 92% kept their human workforce the same size or grew it.

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Genpact (G) released research on enterprise AI adoption, finding that deployment is outpacing changes in how businesses operate and measure value. The survey covered more than 2,000 enterprise executives across 17 industries. Among respondents, 79% reported AI agents in production, but 20% used them broadly and consistently across functions. Only 15% had fully tied AI investment to profit-and-loss outcomes.

On average, 49% of AI initiatives funded in the past 24 months delivered their expected value, while 9% of enterprises completed significant operating model transformation. AI now leads or fully runs 40% of decisions, more than double a year ago, yet humans still decide or audit in at least 87% of cases at every decision stage. Genpact argues that connecting people, agents and accountability for business results is necessary to capture AI-enabled value.

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Key Figures

AI agents in production: 79% Broad, consistent use across functions: 20% AI investment tied to P&L outcomes: 15% +5 more
AI agents in production
79%
Enterprises surveyed
Broad, consistent use across functions
20%
Enterprises surveyed with AI agents in production
AI investment tied to P&L outcomes
15%
Enterprises surveyed
Initiatives delivering expected value
49%
Average share of AI initiatives funded in the past 24 months
Significant operating model transformation completed
9%
Enterprises surveyed
Decisions AI leads or fully runs
40%
Survey finding; more than double a year ago
Cases where humans decide or audit
87%
At every decision stage
Workforce kept the same size or grew
92%
Respondents with agents in production

Key Terms

p&l
1 terms
p&l financial
"tied AI investment to P&L outcomes."
A P&L, short for profit and loss statement, is a snapshot of a company's money in and money out over a set period that shows whether the business made a profit or suffered a loss. Think of it like a household budget or a scorecard: it shows sales, costs and the bottom-line result, helping investors judge whether the company is earning enough, managing expenses, and likely to grow or face financial stress.

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

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Genpact survey of more than 2,000 executives finds the barrier to AI value is operational, not just technological, and AI Leaders are tackling it with Agentic Operations

NEW YORK, Nov. 12, 2026 /PRNewswire/ -- Genpact (NYSE: G), the Agentic Operations company, today released a research report, Autonomy in Practice: How agentic operations can turn AI progress into business value, based on a survey of more than 2,000 enterprise executives across 17 industries. It finds that AI agents have reached production faster than enterprises have redesigned how they operate, and most are not yet capturing the autonomy dividend: the value that comes when AI-enabled gains translate into better business performance, not simply greater productivity.

Genpact, the Agentic Operations company, released a research report, Autonomy in Practice: How agentic operations can turn AI progress into business value, based on a survey of more than 2,000 enterprise executives across 17 industries,

Key findings from Genpact's Autonomy in Practice report:

  • 79% of enterprises surveyed have AI agents in production, but just 20% use them broadly and consistently across functions.
  • Only 15% have fully tied AI investment to P&L outcomes.
  • On average, just 49% of AI initiatives funded in the past 24 months have delivered the value expected.
  • Only 9% have completed significant operating model transformation.
  • AI now leads or fully runs 40% of decisions, more than double a year ago, yet humans still decide or audit in at least 87% of cases at every decision stage.
  • Agents are scaling alongside people: 92% of respondents with agents in production kept their human workforce the same size or grew it.

The findings show that autonomy in practice is not full autonomy. It is deciding deliberately where agents act, where people decide and validate, and what business outcomes the hybrid workforce produces.

AI Leaders, the 17% of enterprises at the top of Genpact's AI Maturity Index, are further along in building Agentic Operations: the operating model that runs people and agents as one workforce. Genpact's research measured five building blocks critical to this model, but most enterprises have not yet connected them.

What AI Leaders do differently

Backed by a CEO-level mandate, AI Leaders are ahead on all five building blocks. They:

  • Reinvent work across the enterprise, not function by function.
  • Build the human-agent workforce deliberately, creating new roles such as exception specialists and agent trainers.
  • Strengthen the data and AI foundation for repeatable scale, giving agents access to act across systems, not just retrieve information.
  • Govern and secure agents throughout their lifecycle, not just at deployment.
  • Make value capture a P&L discipline, tying AI-enabled gains to named owners and P&L lines.

"Enterprises have become effective at deploying AI agents. Running them is the hard part," said Sanjeev Vohra, Chief Technology and Innovation Officer, Genpact. "Agentic Operations connects AI with context-rich process intelligence, human judgment, and governance to capture the autonomy dividend."

About the survey
The study, conducted in 2026, surveyed senior executives at companies with annual revenues from $1 billion to more than $50 billion across 17 industries and 14 business functions, supplemented by in-depth interviews with enterprise leaders. Findings are self-reported; percentages are rounded.

Download the full report at https://www.genpact.com/insight/autonomy-in-practice.

About Genpact

Genpact (NYSE: G) is the Agentic Operations company, where frontier AI meets context-rich process intelligence. For decades, we have run mission-critical operations for the world's leading enterprises across finance, risk, supply chain, banking, insurance, and procurement. Today, with Agentic Operations, agents run the work, and our experts own the outcomes, so clients grow faster, operate leaner, and convert more to cash.  Get to know us at genpact.com and on LinkedIn, X, Instagram, YouTube, and Facebook.

MEDIA CONTACT:

Keith Gordon
Genpact Media Relations
917-204-9952
keith.gordon@genpact.com

 

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SOURCE Genpact

FAQ

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

What did Genpact's survey find about AI investment and business results?

Only 15% of enterprises surveyed had fully tied AI investment to profit-and-loss outcomes. On average, just 49% of AI initiatives funded in the past 24 months had delivered the value expected.

How was Genpact's 2026 enterprise AI survey conducted?

The study surveyed senior executives at companies with annual revenues from $1 billion to more than $50 billion, spanning 17 industries and 14 business functions. It was supplemented by in-depth interviews with enterprise leaders. Findings are self-reported, and percentages are rounded.

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