{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/af87a63be4b8471e8406b17184ae736b\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/af87a63be4b8471e8406b17184ae736b-219e73a71c49bfbf.gif","duration":609.039,"title":"HeyAI - SDLC Intelligence Layer for Projects","description":"This Loom demonstrates HeyAI, an SDLC intelligence layer that improves healthcare delivery decisions by building project memory from Jira or Azure DevOps artifacts. The presenter initializes a Healthcare Claims Management Platform project, then shows how HeyAI analyzes an existing user story about reprocessing a claim after a successful appeal, generating gap questions and optional versus important items. It can reanalyze stories after new inputs, generate full work item descriptions with acceptance criteria and suggested tests, and post open questions to Jira. Finally, it uses project context to answer rule and risk questions about duplicate appeal prevention and to generate happy path, negative, edge, regression, and adjacent rule test scenarios with coverage gaps."}