Stop Asking If Your AI Is Trustworthy. Start Asking Who Owns It When It’s Not

Most AI failures in production aren’t technical—they’re organizational. Teams invest in accuracy and trust but ignore accountability: who owns the system, detects drift, and acts on it. Without a named individual, defined operating boundaries, and real escalation paths, AI systems fail silently until outcomes force attention. The solution isn’t better models or dashboards—it’s designing ownership into the system before deployment.