Agentic artificial intelligence is an emerging area of AI focused on systems that can plan, adapt, and support multi-step processes under human supervision. In mental health, these systems are designed to operate within a bidirectional feedback loop in which neuroscientific and clinical insight informs AI behavior, while agentic AI helps clinicians organize complex information and identify meaningful patterns over time. Rather than acting as independent decision-makers, agentic systems are developed with clear safeguards, transparency, and human-in-the-loop oversight to ensure alignment with clinical values and patient safety.

Agentic AI operates within a bidirectional loop where clinical and neuroscientific insight shapes system behavior, and AI supports clinicians in navigating complexity over time