{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b57a03163087455b895e1e773757dc01\" frameborder=\"0\" width=\"1440\" height=\"1080\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1080,"width":1440,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1080,"thumbnail_width":1440,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b57a03163087455b895e1e773757dc01-b49d841abbacfaa6.gif","duration":136.541,"title":"Protecting Confidentiality During Investment Onboarding","description":"This Loom demonstrates a two-brain AI setup for onboarding in investment banking while preserving confidential privacy. The system uses a shared project brain with organization-wide knowledge and a personal employee brain that auto-syncs role relevant context to each person’s MCP connected tools. It shows an example with Sophia at Y Investment Bank, where her private notes on Project Velocity labeled internal only are not shared to a new employee. The Loom opens an onboarding window for “Edward” and confirms that only recently synced project brain information is available, not Sophia’s confidential data."}