New research: Customer service team evolution

The implementation of AI agents like Fin in customer service has led to significant changes in roles, responsibilities, and workflows, as revealed by a study analyzing 166 interviews with support leaders and specialists. Approximately 95% of participants reported changes, with tasks such as ticket triage, routing, and repetitive responses now automated, shifting human agents' roles towards oversight, quality assurance, and performance monitoring of AI outputs. This shift has resulted in a decline in Tier 1 staffing needs, as AI manages simpler requests, while creating new roles such as AI specialists and automation managers, reflecting a broader move towards automation-first strategies. Although these changes are widespread, they vary across organizations, with some forming specialized AI teams and others maintaining traditional structures. The transition has fostered a cultural shift towards continuous improvement and collaboration between customer service, data, and operations teams. As AI technology continues to evolve, the transformation in customer service is expected to deepen, raising questions about the skills required for new roles and the strategic approaches companies will adopt to support these changes effectively.