Uploaded June 2026 | Updated September 2026, 1 hour ago
๐ฌ Full story: youtu.be/_2l81gatd1Q
Restaurants still get 30โ50% of their revenue from phone calls โ but they're missing 40โ60% of those calls. That adds up to $20 billion a year in lost revenue industry-wide.
Lomen AI built a voice agent on Twilio that replaces the human receptionist: taking orders, booking reservations, and processing payments โ plugged directly into the restaurant's existing phone system.
๐ Resources:
- Twilio Voice: twilio.com/voice
- Sign up for a Twilio account here: twil.io/trytwilio-yt
- Subscribe for more Twilio updates: twil.io/sub-twiliodevs
- Check out the Twilio Developer hub: twil.io/devhub
#Twilio #VoiceAI #RestaurantTech #AIAgents #Shorts
๐ฌ Full story: youtu.be/_2l81gatd1Q
Restaurants still get 30โ50% of their revenue from phone calls โ but they're missing 40โ60% of those calls. That adds up to $20 billion a year in lost revenue industry-wide.
Lomen AI built a voice agent on Twilio that replaces the human receptionist: taking orders, booking reservations, and processing payments โ plugged directly into the restaurant's existing phone system.
๐ Resources:
- Twilio Voice: twilio.com/voice
- Sign up for a Twilio account here: twil.io/trytwilio-yt
- Subscribe for more Twilio updates: twil.io/sub-twiliodevs
- Check out the Twilio Developer hub: twil.io/devhub
#Twilio #VoiceAI #RestaurantTech #AIAgents #Shorts









![Turn Conversations into Action: A Deep Dive into Conversation Intelligence
Is your AI just listening, or is it acting? Discover how to turn live customer conversations into real-time business outcomes with Twilio Conversation Intelligence.
In this deep dive, we explore the reasoning layer of the Twilio Conversations stack. Once your infrastructure is connected and your context is persistent, the next step is applying intelligence. Weโll show you how to leverage programmable, GenAI-powered Language Operators to provide real-time guidance to human agents, trigger backend workflows, and ensure your AI agents perform safely and effectively in production.
Using the Voltana dealership scenario, we demonstrate how real-time signals like Next Best Response and Next Best Action drive measurable ROI by increasing conversion rates, lowering handle times, and improving overall customer satisfaction.
In this video, we cover:
- The Three Pillars: Live agent assist, real-time automation, and AI agent observability.
- The Architecture: How to use Intelligence Configurations to bundle rules, operators, and actions.
- GenAI at Work: Real-world examples of Next Best Response, Sentiment Analysis, and Lead Scoring.
- The Voltana Demo: Seeing real-time signals transform a customer journey.
- Operational ROI: Feeding conversation insights into your analytics stack (Tableau, etc.).
Key Moments:
[00:00] The Reasoning Layer: Why AI Needs to Do More Than Respond
[01:07] Architecture: Intelligence Configurations, Rules, and Operators
[01:33] The Three Pillars: Agent Assist, Automation, and Observability
[03:35] The Voltana Demo: Using GenAI Operators in Real-Time
[05:14] Driving Conversion: How Next Best Action Resolves Issues
[06:00] Analytics & ROI: Turning Conversations into Structured Data
[06:50] Series Preview: Whatโs Next (Agent Connect)
Explore the series:
Watch the previous video on Conversation Memory: https://youtu.be/DPeFiBht0jc
Learn more about building with Twilio Conversations: https://www.twilio.com/en-us/products/conversational-ai/conversation-memory
๐ป Sign up for a Twilio account here: https://twil.io/trytwilio-yt
๐ Subscribe for more Twilio updates: https://twil.io/sub-twiliodevs
#Twilio #ConversationIntelligence #GenAI #CustomerExperience #CXStrategy #DeveloperTools #NextBestAction #ConversationalAI #TwilioConversations Turn Conversations into Action: A Deep Dive into Conversation Intelligence](https://i.ytimg.com/vi/qzhWLKIOTAg/mqdefault.jpg)
