While commercial banks have invested billions in automated teller chatbots and AI-driven underwriting, customer retention metrics reveal a persistent vulnerability: the breakdown of customer trust during edge-case transaction failures.
1. The Illusion of Zero-Friction Banking
Our multi-city survey across 1,200 retail banking customers indicates that while speed and uptime define baseline satisfaction, loyalty is almost entirely mediated by how gracefully an institution recovers when an automated system fails.
2. Extending E-SERVQUAL in Automated Financial Environments
Traditional E-SERVQUAL models emphasize efficiency, fulfillment, system availability, and privacy. We propose a fifth critical dimension: Recourse Transparency—the immediacy with which a human escalation path is surfaced when algorithmic decisioning fails.
Empirical finding: When human escalation is accessible in under 45 seconds, customer net promoter scores remain positive even after critical app crashes.
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