{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/39925a1ae55d40d795dd5318a0d292b2\" frameborder=\"0\" width=\"1366\" height=\"1024\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1024,"width":1366,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1024,"thumbnail_width":1366,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/39925a1ae55d40d795dd5318a0d292b2-0af099ccc87a7e26.gif","duration":288.917333,"title":"AI Voice Receptionist for Dental Appointments","description":"This Loom demonstrates an AI voice receptionist for a dental consulting workflow, focusing on the conversation flow and end to end appointment automation. The retail AI conversation flow greets callers, then branches into appointment booking or clinic Q and A using a knowledge base, asking one information question at a time to collect name, phone number, email, dental service, preferred date, and preferred time, followed by a confirmation step before triggering automation. The “Anitin Automation Workflow” receives the confirmed booking via webhook, extracts details, stores them in a Google Sheet, generates a clean appointment title using Grok AI and Gemini, creates a Google Calendar event, and sends an automated confirmation email. Key design decisions include separating conversational logic from backend automation, validating inputs during the conversation, and using confirmation to reduce booking errors."}