EY has set ambitious goals to drive AI transformation in three key areas:
- Enhance Service Offerings with AI-Driven Solutions for Growth and Efficiency
- Redefining internal work, functions and technology for optimal operations in the AI era
- Shaping public policies, ethics and social agendas to promote the responsible use of AI globally
These objectives were designed to drive long-term value and growth while meeting overall customer needs, internal capabilities and societal impact.
To achieve these goals – given the challenges of supporting all dimensions of the AI journey – the team focused on six facets through which they were able to navigate the complexities of AI transformation. AI with confidence and precision.
“Through our own process, EY has discovered challenges and learned lessons in six key areas of AI: strategy, people, technology, governance, customers and society,” says Beatriz Sanz Sáiz, head global leader in the EY AI sector. The functional transformation strategically mapped AI use cases against business objectives and our entire value chain, reinventing workflows and operations around AI. This approach mitigated the risk of launching piecemeal AI initiatives that might not deliver the expected value, or potentially wasting resources on low-impact projects, which could lead to efforts being stalled or abandoned.
In technology and data, EY has centralized AI to streamline technology consumption across the enterprise, drive the integration of innovative solutions, and encourage responsible exploration. Developers benefited from advanced tools and platforms to accelerate the AI development lifecycle, while data and systems integration facilitated architectural harmony and robust data governance, in accordance to the EY Responsible AI Framework. The teams advanced this agenda by collaborating with strategic technology alliances to help position the global organization at the forefront of the AI revolution.
With a focus on growing the workforce, EY has adopted a transparent, human-centered transformation approach that fosters AI proficiency, drives consistent integration into daily workflows, and addresses customer pain points. employees with regard to new technologies and tools. Internally, EY has adopted this philosophy to prepare its people for an AI-driven future, closing skills gaps through targeted upskilling and effective change management.
“We have the opportunity to reshape the industry from a technology perspective and with the domain knowledge we have within EY,” says Pablo Cebro, head of EY’s global technology platforms.
The Commitment to Responsible AI reflects a commitment to building trust in AI, aligning technology solutions, business processes and AI infrastructure with the core values of ethical governance and risk mitigation. With responsible AI essential to transformation, EY has established enterprise-wide AI definitions to ensure consistency and clarity across all business functions. Risk management processes were designed to evolve at the pace of AI innovation, balancing speed with emerging risks. Additionally, budget prioritization has been organized to coincide with AI governance to promote effective and responsible deployment of AI.
“A responsible AI framework is essential to our AI journey and is designed to guide the ethical development, deployment and governance of AI technologies within the enterprise,” notes Alexei Ivanov, EY Global Risk Management – Transformation and Innovation Leader. “Reflecting on our commitment to ethical leadership and preparation, our primary philosophy on AI is to ensure that AI is ethical and does the right thing for the right purpose. »
By focusing on service disruption, EY is actively redefining the services and solutions it offers to its clients. Focused on improving the customer experience, EY adopts alternative business models to reflect the true value delivered. Client Labs were established to co-invest with clients to build capabilities and establish market leadership, systematically aligning services and solutions with industry needs.
“Our approach to transformation is not only a roadmap for the evolution of our organization, but also an activator of industry-wide change, enabling customers around the world to learn from the journey. “AI of our 400,000 employees,” says Hanne Jesca Bax, EY Global Vice President – Markets.
Finally, the commitment to “AI for good” is at the heart of the transformation strategy, emphasizing the ethical and responsible use of AI. The profound impact of AI requires a persistent commitment to preserving public trust through well-defined safeguards, policies and responsible development. EY’s transformation efforts demonstrate that responsible, practical and strategic applications of AI can lead to a more equitable and sustainable future.