Toward Responsible GenAI-Assisted Thai Buddhist Funeral Coordination: A Pre-Deployment Acceptance Study and Evidence-to-Design Translation Framework

Thai Buddhist funeral services constitute a substantial multi-actor service ecosystem that remains largely dependent on conventional, fragmented coordination among bereaved families, temples, service providers, and administrative actors, with limited digital integration. This study reports a pre-deployment acceptance evaluation of a conceptually specified GenAI-assisted funeral-coordination service and proposes an Evidence-to-Design Translation Framework (EDTF) for translating acceptance evidence into initial design and governance requirements. Using non-probability convenience sampling through online recruitment, 342 screened adults with prior funeral-arrangement experience in the Bangkok Metropolitan Area evaluated a standardized vignette and representative interface mockups rather than an operational platform. PLS-SEM was used to examine prospective acceptance under five predefined safeguards: traceability, auditability, contestability and redress, verification, and risk-based human review. Perceived usefulness was the strongest predictor of intention to use, while attitude toward use provided a secondary pathway. The EDTF maps empirically supported user-evaluation signals to candidate workflow features, accountability controls, required records, monitoring indicators, and escalation rules. The findings provide bounded pre-deployment evidence for subsequent prototyping and pilot validation; they do not demonstrate actual adoption, live-system effectiveness, safeguard causality, or realized industry transformation.