I’m rolling out a full omnichannel platform, but the very first milestone is crystal-clear: automate our voice channel so every inbound call is handled instantly and intelligently. The Voice AI you build must recognise caller intent, schedule appointments, capture and qualify leads, and resolve or route client-support requests—all without a human in the loop. Here’s what I need brought to life right away: • Conversational IVR that greets callers, understands natural language, and branches smoothly between appointment scheduling, support, and lead-generation flows. • Real-time calendar integration to lock in tour or meeting slots, send confirmations, and update when changes occur. • Lead-management workflow that tags, scores, and posts each prospect into our existing CRM through REST/GraphQL APIs. • Support-ticket creation with smart escalation for urgent maintenance or billing issues, plus automated call-backs where required. • Usage analytics so I can track intent distribution, conversion rates, average handling time, and missed-call recovery. We’re already using a unified inbox, so tight integration with tools such as Twilio Voice, Dialogflow, Amazon Lex, or an equivalent stack is expected. Clean, well-documented code, secure data handling, and an architecture that leaves room for SMS, email, and web-chat channels later will be part of the acceptance criteria. If you’ve shipped production-grade voice bots that book appointments, close leads, and solve everyday support queries, let’s get this first piece live and set the foundation for the rest of our communication automation roadmap.