{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/499f3fb52426463c8d6c477108e8e362\" frameborder=\"0\" width=\"2034\" height=\"1525\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1525,"width":2034,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1525,"thumbnail_width":2034,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/499f3fb52426463c8d6c477108e8e362-5b864ee7dc65a927.gif","duration":4314.549,"title":"AI-Driven Behavioral Transformation Using Sage-Tech.ai Deep Analysis for Legacy System Ground Truth","description":"In this video, we walk you through the process of adding a new capability—selective invoice exclusion—to our payment flow, allowing operators to skip specific invoices during payment runs, by feeding natural language requirements into an agentic AI workflow. We leverage Sage's Cognitive Analysis to confirm that this enhancement does not deviate from our existing business rules but rather adds new functionality. We show how the agentic AI workflow updates the relevant sections of the generated Stakeholder Review Report, particularly the new business rule deviation for stakeholder approval, then observe the live generated application showcasing this capability.  The total end-to-end time for this is 1 hour, but the video is condensed down to 15 minutes because most of that time is spent waiting for the agents, skills, leveraging Sage-tech.ai's in-depth analysis of the legacy system"}