AIVV deploys LLMs as a deliberative outer loop to automate verification and validation. The framework tackles the unsustainable human‑in‑the‑loop workload that currently manages fault classification in autonomous systems. By integrating symbolic reasoning with neural anomaly detection, AIVV scales across diverse control architectures. Engineers can now replace manual HITL analysis with a reproducible, LLM‑driven workflow.