Josh Bersin Company Releases Research on Managing Multi-Agent AI Systems in HR
The Josh Bersin Company has published a research guide titled 'The HR Leader's Guide to Multiagent HR Architecture,' aimed at helping non-IT executives understand and manage multi-agent AI systems. The report emphasizes the importance of orchestrating these agents effectively, rather than simply acquiring them, with an integrated framework covering 151 active AI agents across various roles. According to the research, poor coordination among AI agents can lead to inefficiencies and unreliable outcomes, as seen in a case where a bank's internal HR agents failed to work together. The study recommends grouping individual agents into functional 'superagent' families centered on eight core areas of HR operations. This approach is expected to reduce task-oriented HR workload by up to 40%. The report outlines six key decisions for implementation, focusing on data governance and human oversight in AI systems. It warns that managing these architectures should be a strategic business decision rather than purely technical.
Topics: AI data governance enterprise AI HR technology multi-agent systems