{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/94ac3555a2a24e40b660d54a74a229d2\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/94ac3555a2a24e40b660d54a74a229d2-9753357a5ae55d35.gif","duration":312.142,"title":"Cadence walkthrough","description":"This Loom explains how to decide whether an 18-agent collections floor should scale an AI-assisted triage, and how to test it credibly. The author locked 6 KPIs computed from 1,200 accounts over 6 months, identified data issues and cure-rate noise (36 to 49% month to month), then scored build versus extend versus buy across 8 criteria, where build led (3.6) after weighting data readiness and explainability. A guardrail-gated pilot returned a cure-rate lift and improved time to first touch by about a day and a half with zero guardrail violations, but the control cohort matched baseline and the weekly analysis showed the pilot’s lift could not be distinguished from doing nothing due to a confidence interval containing zero. Despite a go gate based on guardrails, the author recommended against scaling beyond wave 1, citing the earlier phase-one mortality impact of about 12 points."}