Lance Runs Hotel Operations with AI Agents That Navigate Your Existing Software

The Macro: Hotels Are Staffing Nightmares

The hotel industry has a chronic labor problem. Front desk staff, reservation agents, and operations teams are expensive, hard to hire, and constantly turning over. A mid-size hotel might need someone answering phones 24 hours a day across three shifts. During peak season, call volumes spike and reservations get missed. During off-peak, you are paying people to sit idle.

The traditional hotel tech stack is a mess of legacy systems. Property management systems like Opera and Cloudbeds handle reservations. Revenue management tools handle pricing. Phone systems handle calls. And a dozen other specialized tools handle housekeeping, maintenance, and guest communication. Most of these systems do not talk to each other well, which means staff spend significant time manually transferring information between systems.

Previous attempts at hotel automation have focused on chatbots for guest messaging or simple IVR phone trees. These handle basic FAQ queries but cannot actually make a reservation, adjust pricing, or coordinate operations. They deflect rather than resolve.

Lance, backed by Y Combinator, takes a different approach. Their AI agents use computer use technology to navigate existing hotel software, making real-time decisions and handling complex multi-step tasks.

The Micro: Computer Use Agents for Hospitality

Caleb Chan (CEO), Gavin Brennen (COO), and Gatik Trivedi (CTO) built Lance specifically for the hotel vertical. The company is already trusted by some of the top hotel groups in the US, supporting 50+ hotels across brands like Marriott, Hilton, and Hyatt.

The computer use agent approach is significant. Instead of requiring deep API integrations with every hotel software system, Lance agents navigate the actual software interfaces that hotel staff use. This means the product can work with any hotel management system without waiting for integration partnerships. It is the equivalent of hiring a remote employee who uses the same tools as your existing team.

The AI agents handle phone calls (answering, routing, taking reservations), sales (closing direct bookings that would otherwise go to OTAs like Expedia and Booking.com), and operations (coordinating between departments and systems).

The direct booking angle is particularly valuable. Hotels pay 15 to 25% commissions to online travel agencies for bookings. Every reservation that Lance converts from an OTA booking to a direct booking saves the hotel hundreds of dollars. If an AI agent can answer calls and close direct bookings at scale, the ROI is immediate and substantial.

Competitors include Canary Technologies (hotel guest management), ALICE (hotel operations platform), and various voice AI companies targeting hospitality. Lance’s computer use approach gives them broader capability without requiring the integration work that limits other platforms.

The Verdict

Lance is well-positioned in a market with real pain. Hotels need operational automation and direct booking conversion. Lance delivers both through a novel computer use approach.

At 30 days: what percentage of incoming calls is Lance handling end-to-end without human escalation?

At 60 days: what is the direct booking conversion rate for calls handled by Lance agents compared to human staff?

At 90 days: how reliable is the computer use approach across different hotel management systems and software versions?

I think Lance has found an effective wedge into hotel operations. The 50+ hotel traction across major brands is strong validation. The computer use approach to software integration is pragmatic. And the direct booking conversion creates immediate, measurable ROI that justifies the cost. Hotels that see Lance converting OTA callers to direct bookings will expand rapidly.