The 10 SQL queries against 15,000 rows represent a modest analytical footprint, suggesting compute time concentration likely shifts to LLM synthesis stages rather than database operations. This workload is acceptable for scheduled runs on a daily or weekly cadence, though on-demand execution may introduce latency if multiple concurrent requests hit the pipeline. The primary lever for cost reduction is query consolidation—combining filtering, aggregation, and join operations into fewer, larger statements reduces round-trip overhead and allows the database engine to optimize execution plans more effectively than sequential smaller queries.