EY has introduced a cutting-edge AI solution for its assurance department. According to Marc Jeschonneck from EY, this tool will bring about a shift in the desired skills of junior employees. While it may pose a challenge for them initially, in the long run, it will simplify their work life.
When auditing professionals are asked about their learning process, they often mention the importance of repetitive tasks. However, when discussing the impact of AI on the industry, the consensus is that it eliminates mundane and repetitive work.
EY, a prominent firm in accounting and consulting, is addressing this dichotomy by implementing a novel training strategy for junior staff as it integrates AI agents into its audit processes. Recently, the company unveiled a global multi-agent framework within EY Canvas, its assurance platform, to be utilized by its extensive team of 130,000 auditors on a daily basis.
The objective is to have all audit activities supported by agents by 2028. Jeschonneck stated that this system aims to enhance efficiency in auditing and seamlessly integrate AI into workflows more effectively than conventional chatbots.
While Jeschonneck believes that experienced auditors will benefit from this transformation by having their workload streamlined, he acknowledges that entry-level staff may face initial challenges in adapting to this new approach. To support them through this transition, EY plans to provide training in a more innovative manner.
Rather than learning through repetition on various projects, new hires will engage with practical audit scenarios supported by adaptive tools and instructional videos within the platform itself. Despite the initial difficulties posed by this shift, Jeschonneck views it as a positive development for entry-level employees.
EY’s global multi-agent framework comprises a small set of agents initially. The current lineup includes a core assistant and three additional agents for document search and summarization, as well as automating administrative tasks. More agents are in development to review auditors’ work and assist with reconciliation documentation.
Jeschonneck emphasized that EY’s approach differs from others in the industry as their agentic AI system serves as an all-in-one solution rather than requiring users to upload files themselves. He argues that the success of such systems should not be solely measured by the number of agents deployed but rather by their effectiveness and integration.
Integrating AI agents into audit and consulting services has become integral to the Big Four firms’ business strategy in 2026. They aim to showcase the value of enterprise-scale AI within their operations. Furthermore, these developments reflect a broader trend across industries where automation is reshaping traditional job roles.
Despite concerns about job displacement due to AI advancements, Jeschonneck reassured that EY remains committed to maintaining its workforce size. The firm anticipates an increased need for personnel with expertise in technology and handling complex client requirements amidst evolving regulatory demands.
In conclusion, Jeschonneck emphasised the importance of retaining individuals with deep industry knowledge to make technological advancements relevant within the accounting field.