As artificial intelligence agents increasingly build and manage databases, data observability has emerged as a critical requirement for organizations. According to recent industry reporting from SiliconANGLE, the shift toward AI-driven database creation highlights the growing need to monitor, track, and understand data pipelines and database structures built by autonomous systems. This development matters because ensuring data reliability, performance, and correctness becomes significantly more complex when databases are generated and modified by AI agents rather than traditional human engineering teams.