Generative Ai Revolutionizes Operations How Ernst Young Transforms

Bonisiwe Shabane

-Nov 29, 2025, 8:27 PM

generative ai revolutionizes operations how ernst young transforms

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Multinational consultancy Ernst & Young (EY) said generative AI (genAI) is “radically reshaping” the way it operates, and the company boasts a 96% adoption rate of the technology by employees. After spending $1.4 billion on a customized generative AI platform called EY.ai, the company said the technology is creating new efficiencies and allowing its employees to focus on higher-level tasks. Following an initial pilot with 4,200 EY tech-focused team members in 2023, the global organization released its large language model (LLM) to its nearly 400,000 employees. Even so, the company’s executive leadership insists it’s not handing off all of its business functions and operations to an AI proxy and that humans remain at the center of innovation and development. Looking to the future, EY sees the next evolution as artificial general intelligence (AGI) — a neural network that will be able to think for itself and capable of performing any intellectual task a... Computerworld interviewed Saiz about how genAI is changing the way the company operates and how its employees perform their jobs.

You launched EY.ai a year ago. How has that transformed your organization? What kinds of efficiencies and/or productivity gains have you seen? “Over the past year, we’ve harnessed AI to radically reshape the way we operate, both internally and in service to our clients. We’ve integrated AI into numerous facets of our operations, from enhancing client service delivery to improving our internal efficiencies. Teams are now able to focus more on high-value activities that truly drive innovation and business growth, while AI assists with complex data analysis and operational tasks.

Ernst & Young (EY) has embraced generative AI (genAI) in a transformative manner, rolling out its custom platform, EY.ai, at a staggering investment of $1.4 billion. This initiative has seen a 96% adoption rate among its employees and is reshaping operational efficiencies across the board. While embracing this change, EY remains committed to keeping human input essential in decision-making processes as they progress toward a future where humans and machines work together seamlessly in the digital landscape. This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced. The integration of AI into enterprise operations is set to reach an inflection point in 2025, as organisations transition from experimental AI deployments to comprehensive digital transformation strategies.

This shift marks a departure from traditional automation, moving towards systems where AI agents work autonomously alongside human employees. However, these changes can bring structural challenges for global enterprises. Existing hierarchical management models face pressure to adapt as AI systems take on decision-making roles previously reserved for middle management. Meanwhile, the emergence of quantum computing capabilities introduces new cybersecurity vulnerabilities, forcing organisations to reconsider their approach to data protection. Regulatory frameworks, meanwhile, are struggling to keep pace with technological change. The EU AI Act establishes initial governance structures for AI deployment in Europe, yet questions remain about implementation across global supply chains and data networks.

This regulatory uncertainty coincides with growing pressure on enterprises to demonstrate responsible AI deployment while maintaining competitive advantages. The shift towards AI-integrated operations requires new organisational structures, moving away from traditional hierarchical workflows towards objective-focused strategies. “The vision we are moving towards is one where humans interact with AI agents, while the C-suite oversees decision-making and becomes the control tower of this new hybrid operating system,” says Beatriz Sanz Saiz,... EY tests this transformation through its EY.ai platform, which brings together human capabilities and AI to help clients transform their businesses through confident and responsible adoption of AI. “At EY, we are already navigating this transformation through our EY.ai platform. This initiative showcases how a flexible, adaptive approach to AI integration can revolutionise work structures and outcomes,” says Beatriz.

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How Ernst & Young's AI platform is 'radically' reshaping operations EY launched its customized generative AI platform a year ago — at a cost of $1.4 billion — and the technology is already being... https://lnkd.in/dUazvAGc Betting that generative artificial intelligence (genAI) is top of mind for every IT manager and corporate executive would be a smart move. An equally smart take would be to realize that most organizations still remain reticent to fully embrace the technology and its automation capabilities. Given the AI hallucinations, output errors, organizational data fragmentation and a lack of skilled IT talent to manage it, corporate leaders have good cause to be pensive. Yet, there’s not likely a consultant worth their salt that would advise an organization to not explore AI’s efficiencies, cost-savings and production-enhancing capabilities.

Julie Teigland is a managing partner and the global vice chair of alliances and ecosystems at professional services firm Ernst & Young (EY). In her previous role at the company, she led 150,000 employees in a business region that encompassed 98 countries, including Europe, the Middle East, India and Africa. In February, Teigland began her current duties — focusing on how businesses drive transformation amid new technologies, a key one of which is genAI. As part of her responsibilities, Teigland is especially focused on technology consulting and strategy all across all EY business lines. Computerworld spoke with her about why genAI and related technologies haven’t been more widely embraced and how organizations can find their AI sweet spots. The following are excerpts from that interview.

Generative Ai Revolutionizes Operations How Ernst Young Transforms

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