The EmpAIth Assurance Framework (EAF™) is an IRB-approved governance model that sets measurable clinical, ethical, and regulatory standards for artificial intelligence systems in behavioral health. Developed under the oversight of WCG IRB (Protocol CC-2025-001), EAF™ offers a structured rubric and auditing methodology to assess AI tools used in mental health and psychosocial support. It aligns with professional ethics and data protection requirements, incorporating guidelines from the NIST AI RMF (2023) and EU AI Act (2024) across ten auditable governance domains, such as Clinical Validity, Bias & Fairness, Crisis Detection & Response, and Privacy & Confidentiality. By introducing licensed clinician oversight, EAF™ promotes trustworthy, human-in-the-loop design, enhancing user safety, cultural responsiveness, and regulatory readiness. It is suitable for adoption by health ministries, research institutions, and developers seeking reliable, clinician-validated digital mental health technologies. The framework aims to scale a clinician-led, IRB-approved AI governance model that emphasizes safety, transparency, and accountability in behavioral health technology, while training clinical reviewers globally and aligning policies with WHO AI ethics and digital health standards. Target populations include health professionals, adults, adolescents, and children.