video1.0<iframe src="https://www.loom.com/embed/b27cf993eed14294b050a2ea99f17561" frameborder="0" width="1584" height="1188" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>11881584Loomhttps://www.loom.com11881584https://cdn.loom.com/sessions/thumbnails/b27cf993eed14294b050a2ea99f17561-076efa1ff3b43218.gif616.365This Loom explains how to run evidence-based vendor risk assessments in CoverBase’s Risk Assessment Co-Pilot. It starts with editing or accepting AI-suggested inherent risk during vendor onboarding, then launches a standard risk assessment that can be scoped to selected services and automatically opens a vendor outreach portal with a due date and branded email invites from the customer. Vendors upload documents, which are classified by in-browser machine learning to match assessment requirements, and can answer customized questionnaires with optional AI autofill. CoverBase evaluates controls using a library of 50 control types across multiple domains, produces a draft assessment, and lets reviewers review and create follow-ups for issues identified by AI before exporting results in multiple formats.