Integrate Custom AI with Your Hospitality Reservation System
Syntora is an AI automation agency specializing in custom reservation systems for hospitality groups. We build production-grade integrations connecting your PMS to voice agents and chatbots.
Key Takeaways
- Syntora is an AI automation agency that builds custom reservation systems for small to mid-sized hospitality groups.
- The system uses AI agents to handle booking inquiries and modifications by integrating directly with your Property Management System (PMS).
- A typical build connects your PMS to a voice or chat interface, providing real-time availability checks in under 500 milliseconds.
- The final deliverable is production-grade Python code that you own completely, with no ongoing license fees.
Syntora designs custom AI reservation systems for SMB hospitality groups. The system connects a client's Property Management System (PMS) to voice and chat agents using a custom FastAPI service. This architecture allows AI to handle real-time availability checks, new bookings, and modifications without manual front desk intervention.
The project scope depends on your specific PMS, the number of booking channels, and the complexity of reservation logic. A group using a modern PMS like Mews with a well-documented API is a 4-week build. A business with a legacy on-premise system and multiple OTA channels requires more initial discovery and data mapping.
The Problem
Why Do Hospitality Groups Struggle with Automated Reservations?
Many hospitality groups rely on their PMS's built-in booking engine or a channel manager like SiteMinder. These tools are great for synchronizing rates across OTAs but offer little intelligence for direct inquiries. When a guest calls or uses the website chat, the conversation hits a wall. The front desk agent or chatbot must manually check the PMS for availability, a process that is slow and error-prone.
For example, consider a 10-property boutique hotel group. A guest calls after hours to ask, "Do you have a pet-friendly king room available for the first week of June?" The call is routed to an answering service which can only take a message. By the time the front desk calls back the next morning, that potential guest has booked with a competitor. They tried a generic chatbot like Tidio, but it cannot access real-time availability in their PMS, so it just deflects all booking questions to a static online form.
The structural problem is that the communication channel (phone, chat) is disconnected from the inventory system (the PMS). Off-the-shelf chatbots are not built to perform authenticated, real-time queries against third-party systems. They can follow a script, but they cannot dynamically check multi-variable availability, understand modification requests, or process a new booking directly into the source of truth. This forces high-value staff to spend hours on repetitive, low-value data retrieval and entry.
Our Approach
How Syntora Builds a Custom AI Reservation Integration
An engagement would begin with a technical audit of your Property Management System. Syntora would analyze its API documentation to map the specific endpoints for checking room availability, retrieving rate codes, creating new bookings, and processing modifications or cancellations. This audit produces a clear scope document detailing exactly what the AI agent can and cannot do, which you approve before any code is written.
The core of the technical solution would be a FastAPI service deployed on AWS Lambda. This service acts as a secure intermediary between the AI and your PMS. When a guest inquiry is received, a large language model like the Claude API parses the natural language into structured data (e.g., dates, room_type, guest_count). The FastAPI service validates this data and makes a direct, authenticated API call to your PMS. The architecture uses Pydantic for data validation to prevent bad requests and httpx for asynchronous calls, ensuring fast response times even when checking multiple properties.
The delivered system is a private API that you own and control. This API can be connected to any guest-facing interface: a website chatbot, a voice AI for handling phone calls, or even an SMS-based concierge. You receive the complete Python source code in your GitHub repository, a deployment runbook, and a monitoring dashboard. The system lives in your cloud environment, ensuring you have full control over your data and infrastructure without vendor lock-in.
| Manual or Off-the-Shelf System | Custom AI System by Syntora |
|---|---|
| Guest inquiries require front desk staff intervention | AI handles 70% of routine booking and availability questions |
| 5-10 minute manual process to check rates and book | Sub-second API response for real-time availability |
| Data entry errors lead to overbooking or incorrect rates | Direct PMS integration eliminates manual data entry errors |
Why It Matters
Key Benefits
One Engineer, Direct Communication
The engineer on your discovery call is the same person who writes every line of code. There are no project managers or handoffs, ensuring your requirements are translated directly into the final system.
You Own All The Code
Syntora delivers the full source code, documentation, and a runbook to your GitHub account. You are never locked into a proprietary platform and have complete freedom to modify or extend the system.
A Realistic 4-6 Week Timeline
A standard reservation system integration is scoped and built within four to six weeks. The timeline depends on the quality of your PMS API documentation, which is assessed in the first week.
Predictable Post-Launch Support
After handoff, Syntora offers an optional flat monthly support plan covering monitoring, bug fixes, and minor updates. You get priority access to your original developer without unpredictable hourly billing.
Deep Hospitality Tech Understanding
Syntora understands the unique challenges of hospitality tech, from the complexities of PMS integrations to the need for real-time inventory checks. The solution is designed for your specific operational workflow.
How We Deliver
The Process
Discovery and API Audit
A 30-minute call to understand your guest workflow and current PMS. You provide read-access to your PMS API documentation, and Syntora returns a detailed scope document outlining the integration plan and a fixed price.
Architecture and Scoping
Syntora presents the technical architecture for the integration. You approve the exact logic the AI agent will follow for handling different types of guest requests before the build begins.
Build and Weekly Demos
The system is built with weekly check-ins to demonstrate progress. You will see the AI agent responding to test queries with live data from your PMS, allowing for feedback and adjustments.
Handoff and Documentation
You receive the complete source code, a deployment runbook, and control of the monitoring dashboard. Syntora remains on standby for 4 weeks post-launch to ensure a smooth transition before moving to an optional support plan.
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The Syntora Advantage
Not all AI partners are built the same.
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Assessment phase is often skipped or abbreviated
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We assess your business before we build anything
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Typically built on shared, third-party platforms
Syntora
Fully private systems. Your data never leaves your environment
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May require new software purchases or migrations
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Zero disruption to your existing tools and workflows
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Training and ongoing support are usually extra
Syntora
Full training included. Your team hits the ground running from day one
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Code and data often stay on the vendor's platform
Syntora
You own everything we build. The systems, the data, all of it. No lock-in
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