Timing the Human Touch: Maximizing Satisfaction in AI-Driven Customer Journeys

The growing use of AI in service delivery has raised important questions about when human involvement, or a human-in-the-loop (HITL), remains beneficial. This study examined at which points in the customer journey human involvement should be integrated into AI-enabled service interactions to maximize customer satisfaction. Using an experimental survey design (N = 290), participants evaluated either an AI-only or hybrid service system across three journey stages in one of three industries: e-commerce, financial services, or healthcare. Results revealed a stage-contingent pattern: hybrid delivery conferred no satisfaction advantage at the early stage, a significant advantage at the core service encounter (industry-averaged), and conditional benefits at the late stage, concentrated in e-commerce service recovery. Financial services showed no significant hybrid effects at any stage. By framing human involvement as a stage-specific design choice rather than a uniform solution, this study offers guidance for structuring AI-enabled services that balance efficiency with customer experience.