Deploy a 24/7 AI Concierge That Knows Your Hotel

Many hotels try generic website chatbots like Tidio or Drift. These tools are designed for sales lead capture, not guest services. They can answer a question if it exists in a pre-written list, but they have no connection to your PMS. The chatbot cannot tell a guest if their specific room is ready or process a request for more towels because it doesn't know who the guest is or what room they are in.

Next, hotels look at tools built into their PMS, like basic responders in Mews or Cloudbeds. These are a step up but often rely on rigid, keyword-based logic. Consider a guest who texts at 1 AM: "My flight is late, can I check out after 1 PM? Also, what time does breakfast start?" The PMS bot might catch "breakfast" and answer that part, but it will fail on the compound request for a late checkout because that requires checking room availability for the next night. The request gets lost or sits until the morning staff arrives, creating a poor guest experience and a service backlog.

The structural problem is that these off-the-shelf tools separate conversational ability from operational data. They are either a generic brain with no access to your hotel's live information or a rigid PMS feature with no real conversational intelligence. They cannot maintain context, handle multi-part questions, or perform actions in external systems based on the dialogue. This forces your staff to constantly monitor and manually intervene, defeating the purpose of automation.

The first step is an audit of your guest communication channels and PMS API. Syntora would map the top 20 questions your front desk answers daily from phone logs or message history. We then review the specific API documentation for your PMS to confirm which actions are possible. You would receive a clear scope document detailing the 5-10 core automations we can build reliably, from answering FAQs to processing room service orders.

The core system would be a FastAPI service running on AWS Lambda, which keeps hosting costs under $50 per month. When a guest sends a message, the service uses the Claude 3 Sonnet API to parse the intent. For informational queries like 'What is the Wi-Fi password?', the system pulls from a Supabase vector database loaded with your hotel's information. For action queries like 'Book a 3 PM spa appointment', the service authenticates with your PMS API to check real-time availability and create the booking, providing a response in under 500ms.

The delivered system plugs into your existing guest communication channels. Your team gets a dashboard to review conversations and can take over any chat with one click. Every interaction is logged, and you receive the full Python source code, documentation, and a runbook for maintenance. The goal is an AI assistant that handles 80% of routine requests, freeing your staff for higher-touch hospitality.