
EY, a global professional services firm, has embarked on a transformative AI journey to redefine how it delivers value to its clients, employees, and society. By acting as its own “Client Zero,” EY has tested and implemented AI solutions internally to lead by example. With an initial $1.4 billion investment in AI transformation, EY is committed to becoming the world’s leading AI-powered professional services organization, focusing on responsible AI adoption and creating a better working world.
EY’s AI transformation strategy is grounded in three primary pillars: enhancing service offerings, optimizing internal operations, and promoting ethical AI use. To implement this vision, the firm focused on six strategic pathways: aligning AI initiatives with overarching business goals, empowering employees through AI literacy and upskilling, centralizing AI platforms to enable innovation, developing a Responsible AI framework for ethical governance, redefining client service delivery with AI-powered insights, and using AI to drive social impact. These pathways ensure that AI integration is comprehensive, responsible, and aligned with EY’s broader mission to create value for all stakeholders.
EY adopted a phased approach to its AI transformation. The foundation was built on a robust infrastructure, including investments in cloud systems, centralized data platforms, and partnerships with Microsoft Azure to drive AI innovation. Workforce upskilling was prioritized through initiatives like EY Badges, which resulted in over 115,000 badges earned and 300 advanced degrees awarded in partnership with leading institutions. The firm also established client co-investment labs to foster innovation and accelerate AI adoption.
The EY.ai EYQ platform became a centerpiece of the transformation, enabling real-time insights and AI-driven collaboration across teams. Ethical AI governance was embedded into the transformation through the Responsible AI framework, ensuring alignment with core values. Additionally, client-focused solutions, such as EY Competitive Edge, provided actionable insights and demonstrated the transformative power of AI in real-world applications.
EY’s AI transformation has delivered impressive results across various dimensions. Internally, operational efficiency has been significantly improved, with over 85 million prompts processed through the EY.ai EYQ platform and inefficiencies reduced firm-wide. The workforce has been extensively upskilled, with 83% completing foundational AI training and over 2 million learning hours logged.
Strategic tools like EY Competitive Edge have transformed decision-making, analyzing 677 million news articles and 2.1 million transactions to guide clients in mergers and acquisitions. AI-driven solutions, such as enhanced debt collection for a banking client, have delivered measurable outcomes, including $25 million in annual savings. Externally, EY’s AI for Social Impact initiatives have reached 2.5 million people, reinforcing the firm’s commitment to using AI as a force for good.
EY faced significant challenges during its AI transformation. One key hurdle was proof-of-concept (POC) fatigue, as scattered AI initiatives across the decentralized organization risked diluting focus and resources. Adapting to evolving global regulations posed additional complexities, requiring agile risk management to balance compliance with innovation. The need to upskill a global workforce and address gaps in AI literacy and collaboration also presented a major challenge.
Furthermore, aligning AI initiatives across the organization required a strategic approach to harmonize efforts and optimize resources. Balancing the speed of innovation with responsible AI governance was another critical consideration, ensuring that market expectations were met without compromising on ethical standards.