Artificial intelligence (AI) offers significant opportunities to enhance clinical hypnotherapy, including personalised hypnotic scripts, bio signal-informed monitoring, and between-session conversational support. Turning that promise into safe, effective practice requires rigorous methodological frameworks that address study design, data governance, human-in-the-loop safeguards, evaluation metrics, and ethical and regulatory considerations. This article outlines practical, clinician-focused frameworks to help practitioners and researchers develop, assess, and responsibly implement AI-enabled tools within hypnotherapeutic care.