Restaurant Unstoppable Podcast – Episode #1265

Guest: Christian Wiens, Founder & CEO of Loman AI

Host: Eric Cacciatore

Date: March 30, 2026

Episode Overview

In this episode, Eric Cacciatore sits down with Christian Wiens, Founder and CEO of Loman AI, to unpack the rapid emergence of AI in the restaurant industry—focusing on voice AI, phone answering solutions, and the future of restaurant operations. Christian shares his entrepreneurial journey, dives deep into AI model integrations, discusses what sets Loman apart, and offers insights into how restaurateurs can adapt and benefit from AI without losing their “hometown feel.” The conversation extends to the broader impact of AI, ethical considerations, and predictions for hyper-personalization and transformation in dining.

Main Themes & Purpose

• Demystifying voice AI in restaurants and understanding how it can streamline operations.
• Christian’s entrepreneurial backstory and lessons on building tech for restaurants.
• Key differentiators between demo-level AI and resilient, integrated solutions.
• Ethics, the future of AI, and how restaurants can harness these innovations to enhance both customer and staff experiences.

Key Discussion Points & Insights

The Voice-AI Gold Rush in Restaurants

• Current Landscape: The voice AI sector is exploding, with new companies entering rapidly. Christian highlights that Loman AI, though only two years old, feels like an "elder statesman" in a fledgling sector where "being established" is rare.

  "We feel like elder statesmen in the world of voice AI for restaurants being two years old." (04:46, Christian)

• Differentiation:

  • Many can demo AI, but running it successfully in real-world restaurants (“on a Friday night”) is difficult—production reliability and POS integrations are the keys.

  "It's really simple for a company like what we do to build a demo of something that's shiny and looks good. That's about 2% of the way there. 98% of it is for it to actually work in production." (05:13, Christian)

Christian’s Background & Entrepreneurial Spirit

• Grew up building businesses from childhood; inspired by “service that needs to be provided.”
• Worked in multiple sectors: software startups, cybersecurity, e-commerce, etc.
• Leveraged Silicon Valley network and go-to-market expertise.

  "I've always been somebody that's like, if there's a service that needs to be provided, like, I think I can do it." (09:23, Christian)

The Origin Story: Loman AI

• Sparked by witnessing the inefficiencies of phone answering in restaurants (from personal experience in high-volume BBQ and fine-dining spots).
• Initial MVP demo posted in a Facebook group, leading to first customer—a Philadelphia pizza shop—within 24 hours.
• Importance of customer-first mantra: Loman serves both restaurant operators and the calling patrons.

  "We're always customer first. ... In an industry like this, it's everything." (07:05, Christian)

What Makes Loman Different?

• Deep Restaurant Focus: Decided early to specialize in restaurants only, as each industry has unique workflows and needs deep integration (esp. with POS and reservation systems).

• Robust Integrations:

  • Directly integrates with 30–40 POS systems (Toast, Square, Spoton, Clover, Skytab, etc.)
  • Can both pull data (menus, pricing, 86’d items) and push orders/reservations, unlike generic voice AI solutions.

  "Find out if the integrations actually exist. ... If they don't, they're just making more work for you." (31:16, Christian)

• Conversational Intelligence: Years of real call data have led to proprietary conversational AI models that make AI nearly indistinguishable from a human.

  "We've built these data models that allow us to create a user experience that truly feels like it's real." (34:22, Christian)

• User Experience:

  • No more putting callers on hold or “brusque” order-taking during busy times.
  • Can handle an unlimited number of simultaneous calls, never gets tired or forgets menu items.
  • Processes structured orders with POS and even takes secure payments over the phone.

  "We want to provide a Michelin level experience at your like local pizza shop. A concierge level experience." (35:56, Christian)

AI, Labor, and the Human Angle

• Not eliminating jobs, but re-allocating labor: Front-of-house staff can focus on hospitality, and with more orders and higher AOV, the business can often pay staff more and retain talent.

  "We're going to make you more money because we're going to answer every single call now. So you're going to be able to pay more workers to come in to provide better hospitality." (51:25, Christian)

• Labor Model:

  • Average cost: ~$300–400/location/month, dramatically less than hiring human phone operators.
  • Not taking tips; actual tip pools often increase because of higher order volume.

AI Under the Hood: Models, Agents & Personalization

• Agents vs. Models: Loman is an “agent” capable of using multiple LLMs (OpenAI, Anthropic/Claude, Grok, open source) based on conversational context.

  "Loman is the company that builds the agent. The agent uses the LLM to do specific tasks." (44:01, Christian)

• Customization:

  • FAQ system for restaurant-specific questions (e.g., “Do you have high chairs?”).
  • Personalized interaction: Remembers customer names, orders, card details—can proactively prompt for regular orders or upsell items.

Ethics, Risks, and the Future of AI in Restaurants

• Short-term Trends: Expect proliferation of review management, automatic online review responses, upselling, and hyper-personalized marketing.

• Long-term Vision:

  • Hyper-personalization: One-to-one marketing and service, with AI remembering orders, allergies, and preferences.
  • Transformation economy: Technology will deliver meals tailored not just to taste but to health and genetic profile (e.g., Sweetgreen x Function Health).

  "Imagine if every single one of your customers got a different coupon tailored specifically them." (76:49, Christian)

• Robotics Integration:

  • Hardware for robots in restaurants is here; the “brains” (AI) are catching up.
  • Once a robot is trained, that knowledge spreads instantly to the entire network.

  "Any job in the restaurant industry, as long as you train one AI robotic machine... any robot on that network now also knows how to do it." (69:40, Eric)

• Ethical Concerns:

  • AI misuse, data privacy, manipulation, and the risk of centralized power (the “Google or Meta of AI” problem).
  • The need for restaurant owners to actively shape the AI-driven future, or risk being left behind and commoditized.

  "I don't want AI. I need to keep the hometown feel. ... But you will get left behind." (91:55, Christian)

Memorable Quotes & Moments

• On Paradigm Shift:

  "If you're not in it, it's really easy to underestimate how paradigm of a shift this is going to be in the world. ... Everything is changing." (62:32, Christian)

• On Customer Trust:

  "We have two types of customers. We have our customers who are the restaurants. ... but the people that use our product... are the patrons, the diners." (07:05, Christian)

• On Real Impact:

  "Last night, which was Halloween, was the first night I have ever been able to leave my restaurant and take my kids trick-or-treating because the phones were handled." (60:10, Christian)

• On What’s Next:

  "I think a personalized interaction with anything... is better than a non-personalized one. ... Hyper personalized marketing and hyper personalized interactions at the restaurant level I think are going to become table stakes." (75:12, Christian)

Timestamps for Important Segments

• 03:36 – Why the voice AI market feels like a gold rush
• 07:05 – Christian's customer-first mantra
• 08:16 – Early business ventures, pre-college dreams, and learning from selling Pokemon cards
• 14:55 – How moving to Austin and a beer with a co-founder sparked Loman
• 19:06 – First restaurant job and seeing painful phone inefficiencies
• 26:27 – First demo in a Facebook group, landing first customer
• 30:52 – The true value is POS integration, not demo AI
• 34:49 – Data-driven conversational intelligence—making AI human-like
• 46:17 – How Loman interacts with POS and pushes structured data
• 51:25 – AI and labor: reallocation, retention, and hospitality focus
• 62:32 – Why this AI revolution is a once-in-a-generation paradigm shift
• 68:01 – Conference shout-out; AI's role in online review management
• 74:25 – Example: hyper-personalized, context-aware phone orders
• 77:52 – Ethics, manipulation, and future societal choices
• 91:55 – Restaurant owners must engage with AI, or risk getting left behind
• 96:30 – Paul Graham’s "do things that don't scale" advice for startups
• 101:08 – Three pieces of wisdom for life and legacy

Notable Restaurant Operator Recommendations

• Nathan and Corey, DA Checo’s Pizzeria, Ohio
• Mike Hauk, Tony Baloney’s, Atlantic City, NJ
• Saad, Fluffies, New York

How to Connect with Christian & Loman AI

• Email: christian@loman.ai
• Website: loman.ai – Try the “build an AI agent” tool in minutes
• Socials & Demos: Schedule a demo or chat directly with Christian; onboarding in 24 hours possible

Takeaways for Restaurateurs

• AI is here and maturing fast—owners who embrace it now can reap gains in efficiency, higher sales, and better guest experiences.
• The best AI solutions are deeply integrated, vertical-specific, and built with real restaurant-world needs in mind—not just shiny demos.
• The future promises personalized interactions, labor reallocation, and the need for all restaurant operators to become more tech-savvy and proactive about shaping the industry's future.
• Listen, learn, and get involved—the pace of change will not slow, and the restaurant community has the power to shape how AI impacts their livelihoods.

Final Wisdom from Christian Wiens

1. Spend time with loved ones: You don’t get that time back.
2. Take care of your body: Protect your health with the tools available.
3. Live in the moment: Don’t let stress keep you from enjoying life’s blessings.

   "Just live, like. And enjoy the moment. ... Learn to live in the moment and enjoy yourself." (100:08, Christian)

For the full conversation and actionable resources, visit RestaurantUnstoppable.com.