Automate Hospitality Operations with Custom AI

Many small hotels rely on their PMS, like Cloudbeds or Mews, for basic automation, but these systems are built for booking management, not guest interaction. Their automated emails are rigid templates. They cannot handle a real-time voice call from a guest asking about early check-in availability or wanting to book a spa appointment. Staff are still tied to the phone for these routine queries.

Consider a 50-room boutique hotel on a Friday afternoon. The front desk agent is checking in three guests, while the phone rings continuously. One call is a future guest asking if the hotel is pet-friendly. Another is a current guest asking for more towels. Each call interrupts the check-in process, creating a frustrating experience for both the guests in person and the callers on hold for more than 2 minutes.

Off-the-shelf chatbots from platforms like Tidio or Drift fail because they lack deep integration with the PMS. They can answer static FAQs from a knowledge base but cannot check real-time room availability, process a booking modification, or confirm a guest's late check-out status. Generic Interactive Voice Response (IVR) systems are worse, forcing callers into rigid phone trees that lead to frustration, not resolution. The structural problem is these tools are overlays; they sit on top of your operations but do not connect to the core systems that run your property.

The first step is a deep audit of your guest communication workflows and PMS. Syntora would map the top 10-15 most common inbound call and message types. We would review your PMS API documentation, whether it's Cloudbeds, Mews, or another system, to understand what data can be accessed and updated programmatically. This audit produces a clear plan, identifying which queries can be fully automated and which need to be escalated to a human.

The core of the system would be a Voice AI agent built using Python and FastAPI. This architecture is ideal for handling real-time, concurrent conversations. The Claude API would parse the guest's natural language request, identify their intent, and extract key details. The FastAPI service then communicates with your PMS API to fetch availability or update a guest's record. We use AWS Lambda for deployment, as its serverless nature handles unpredictable call volume cost-effectively.

The delivered system is a dedicated phone number or chat widget that integrates with your existing tools. A typical request like 'What time is checkout?' would be answered in under 15 seconds. Calls or messages are handled by the AI agent, which resolves the request or intelligently routes it to the front desk with full context. You receive the complete source code and a dashboard on Vercel to monitor call logs and resolution rates.