video1.0<iframe src="https://www.loom.com/embed/73c107f6d3c64939abf11057649a1526" frameborder="0" width="2400" height="1800" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>18002400Loomhttps://www.loom.com18002400https://cdn.loom.com/sessions/thumbnails/73c107f6d3c64939abf11057649a1526-19d7ad41cbac9825.gif2978.08This Loom focuses on using Tellin AI to improve audit quality with less time by shifting quality work earlier in the engagement. It demonstrates Quality Scan AI, which checks engagement binders when files are ready for review, identifying missing required documents and sign-offs and using conditional AI rules written in natural language, with testing and explanations for each deficiency. The session also shows Quality Companion in Excel and workpapers to support real time guidance and run workpaper scans that flag issues and suggested fixes, aiming to move quality “to the left.” Jesse Cantor and Colleen Kinoff describe pilot results including an estimated 90 minutes saved per audit engagement, greater consistency, and reduced late-stage rework, and they connect these tools to SQMS monitoring needs.