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Artificial intelligence is advancing through healthcare at a pace that can challenge the governance structures built around it. AI agents are increasingly being considered for clinical workflows, documentation, research, personalized care, and other health services. A 2026 analysis of healthcare technology trends describes expanding use of AI across patient care and clinical operations, while emphasizing the importance of people, processes, training, and quality assurance alongside technical development. For Dr. Dan Eduardo Gonzalez, Pharm.D., founder of ClarityRx Advisory, a healthcare strategy, AI governance, data, and cybersecurity advisory firm, this creates a fundamental leadership question: who holds responsibility when an AI-supported decision produces an unexpected result? His perspective places accountability before deployment, with particular attention to who has the authority to intervene. Dr. Gonzalez points to the common “human in the loop” illusion. A person may technically remain present in an AI workflow while having limited guidance about their responsibilities, decision rights, or circumstances requiring intervention. “A human being pre...