These objectives were designed to deliver long-term value and growth whilst also addressing the needs of clients and the societal impact of the technology.
In meeting these goals, the transformation team focused on the six key areas of strategy, people, technology, governance, clients and society.
Building responsible AI frameworks
The commitment to responsible AI was absolutely critical. EY’s responsible AI framework is central to the organisation’s AI journey and is designed to guide the ethical development, deployment and governance of AI technologies within the firm. The primary ethos is to ensure AI is used ethically and doing the right thing for the right purpose. The profound impact of AI necessitates dedication to preserving public confidence through well-defined safeguards, policies and responsible development. EY’s transformation efforts demonstrate that responsible, practical and strategic AI applications can lead to a more equitable and sustainable future.
During the transformation programme, AI use cases were mapped against business goals and the entire value chain with workflows and operations reimagined around AI. This approach mitigated the risk of launching piecemeal AI initiatives that might fail to deliver anticipated value or of wasting resources on low-impact projects that could be stalled or abandoned in the short term.
AI was centralised to streamline firm-wide technology consumption, foster the integration of innovative solutions, and encourage responsible exploration. Data and systems integration facilitated robust data governance in alignment with the EY responsible AI framework.
Humans at the centre
To prepare the workforce for an AI-driven future, a human-centred, transparent approach to transformation was adopted to foster AI literacy, drive consistent integration into daily workflows, and allay employee fears and reservations in relation to the technology. Skills and knowledge gaps were identified and closed through targeted upskilling