Manual checking of BIM information requirements before asset handover remains a labor-intensive, error-prone, and weakly traceable bottleneck in BIM-enabled digital twin workflows. This study presents an automated pre-handover validation workflow for sensor information requirements in municipal wastewater treatment plants based on extended-aeration activated sludge, replacing a manual BIM information-checking task in BIM-to-AIM delivery. The method instantiates purpose-driven requirements through the Level of Information Need, compiles them into executable Information Delivery Specification (IDS) rules, and verifies completeness, controlled vocabularies, and logical consistency before asset information model (AIM) delivery. It generates two validation outputs: a human-readable Validation Report and a machine-readable IDS. In a representative run, the workflow processed 236 requirements, detected 33 inconsistencies (14.0%), and completed core validation in 109.4 ms with SHA-256 traceability. Replication across 15 additional matrices totaling 21,830 requirements confirmed replicability across heterogeneous requirement sets and supported auditable BIM-to-AIM handover for digital twin readiness in critical water infrastructure.