Genpact Study Shows How Top Enterprises Scale Agentic AI to Drive Autonomous Business Operations

Genpact has announced new research revealing how leading organizations are using artificial intelligence (AI) to fundamentally transform operations and accelerate growth. Based on insights from more than 500 senior executives, Autonomy by Design: Scaling AI for Enterprise Value identifies the behaviors that distinguish the top 12% of organizations successfully advancing toward autonomous enterprises.

These leaders are embedding agentic AI directly into core operational workflows—enabling technology to decide, act, and learn alongside people to deliver measurable business outcomes.

"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."

The Path to Autonomy: Opportunity Meets Reality

Nearly one-quarter of surveyed executives believe self-managing business processes with minimal human oversight could become a reality within the next three years. However, adoption remains limited today: only 3% of respondents are actively implementing agentic orchestration platforms—critical infrastructure for embedding AI across end-to-end processes.

While confidence in AI’s potential is high, many organizations struggle with foundational readiness. Most executives report insufficient governance frameworks for autonomous or agentic AI systems. Workforce readiness also remains a significant barrier: although skills gaps are the most commonly cited constraint to AI adoption, only 45% of organizations provide AI training to 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."

Four Enablers That Set AI Leaders Apart

Genpact’s research identifies four interconnected enablers that differentiate organizations on the path to becoming autonomous enterprises:

• A symphony of agents that orchestrates end-to-end business processes.

• The universal AI practitioner, democratizing AI fluency across roles and functions.

• Enterprise architecture reimagined, with data-centric foundations that support AI at scale

• Governance at the speed of AI, enabling rapid yet responsible deployment

"We are witnessing firsthand the transformative role of AI as the connective tissue of modern business operations," continued Vohra.

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.

Source: Genpact

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