How CIOs Can Design AI Agents With Built-In Governance

Group 1 - A significant majority of employees at U.S. companies recognize the potential benefits of AI in the workplace, yet many harbor fears about job security due to AI's capabilities [1][2][3] - In a survey of 1,148 corporate staff workers, 84% expressed eagerness to adopt agentic AI, while over half believe it could render their positions obsolete [2][3] - Concerns about job security are more pronounced among rank-and-file employees, with 65% expressing worries compared to 48% of managers [2][4] Group 2 - The EY study reveals complex feelings towards enterprise AI, with 86% of employees noting a positive impact on productivity, yet 54% feel they are lagging behind peers in AI usage [3][4] - A lack of training and overwhelming information about AI tools are significant barriers, with 59% citing insufficient AI training as an organizational challenge [5][4] - EY recommends enhancing internal communication and training to help employees better understand and embrace AI strategies [5][6] Group 3 - The introduction of AI agents necessitates adherence to established governance procedures, which can be challenging for both tech developers and end-users [7][20] - Companies are encouraged to involve multidisciplinary teams in the design and governance of AI systems to ensure alignment with corporate values and regulatory requirements [21][22][23] - An inventory of AI agents is essential for effective management, similar to employee records, to track performance and interactions with human workers [31][32]