{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/679296b4e64846daabce1de7623b3af2\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/679296b4e64846daabce1de7623b3af2-2f2f0e38a129fd9b.gif","duration":240.704,"title":"Building AI That Owns Regulatory Decisions","description":"This Loom explains the product vision for Ray, an AI employee for regulatory intelligence that owns the research and monitoring layer. The speaker notes that enterprises often lack trusted decisions rather than information, citing compliance work that can take weeks to months to gather details before acting. Ray continuously monitors regulatory sources, detects changes and drift, maps affected systems and applicable obligations, and provides actionable recommendations to reduce manual errors and time spent mapping requirements. An example shows EU AI Act applicability, where Ray identifies tightened human oversight expectations for a credit system and suggests next steps before moving to the governance or GRC stack. The speaker emphasizes building toward an intelligence layer that enables autonomous agents to operate, with trust driven by explainability, auditability, and human review."}