video1.0<iframe src="https://www.loom.com/embed/4b52276bc2b246a3a2c179841483b615" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/4b52276bc2b246a3a2c179841483b615-e2acd3545e85b0e9.gif362.281In this video, I present the Clara Automation Pipeline, which automates the transition of voice AI agents from a demo configuration to a production-ready onboarding configuration, addressing the operational gap that arises during manual updates. The pipeline, built on N8n and running in Docker, consists of two workflows: Pipeline A processes demo call transcripts to generate a preliminary configuration (V1), while Pipeline B applies onboarding updates to create the final configuration (V2) and tracks all changes. I demonstrate how Pipeline B identified 17 updates, including changes in business hours and pricing, ensuring every modification is documented and versioned. This system eliminates manual errors and is designed to scale for any number of accounts. I encourage you to consider how this automation can enhance our operational efficiency.