Automate Guest Check-In and Check-Out with a Custom AI Agent
AI automates guest check-in by handling pre-arrival communication, ID verification, and payment processing. It automates check-out by settling folios, sending receipts, and collecting feedback via SMS or email.
Syntora designs and engineers custom AI-driven automation systems for the hospitality industry. For boutique hotels, Syntora's expertise applies to streamlining guest check-in and check-out processes through intelligent agents, integrating directly with existing Property Management Systems and hardware infrastructure.
The scope of an AI automation engagement for guest check-in and check-out depends significantly on your existing infrastructure. Integrating with a modern, API-first Property Management System (PMS) is a direct process. Custom development is often required for older systems, specific operational nuances, or physical hardware like key card encoders, as these require building tailored connectors and logic. Syntora designs and engineers these precise solutions, going beyond generic, off-the-shelf tools.
What Problem Does This Solve?
Boutique hotels often try off-the-shelf PMS add-ons for guest check-in. These tools send a templated pre-arrival email but cannot handle custom rules. They offer a rigid, one-size-fits-all workflow that breaks with any exception, such as holding a room for a repeat guest whose corporate card fails verification. You can change the logo, but you cannot change the underlying logic.
Guest messaging platforms like Kipsu or Whistle use simple keyword-based chatbots. They can answer "What are the pool hours?" but cannot process a request that requires accessing the PMS. A guest texting "My flight is late, can I check-in around midnight?" requires a workflow that checks staff availability and room status. The chatbot fails and creates a support ticket, delaying the guest response.
A 30-room hotel using one of these add-ons had a VIP's payment fail due to an expired card on file. The system sent a blunt "payment failed" message, frustrating the guest. The front desk spent 20 minutes on the phone manually updating the card and overriding the system, all while a queue formed in the lobby. The automation created more manual work than it saved.
How Would Syntora Approach This?
Syntora would approach the automation of guest check-in and check-out by first conducting a thorough discovery phase. This would involve mapping your entire manual process, from initial pre-arrival communication to the final check-out survey, to identify all touchpoints and decision trees. The technical foundation would start with connecting to your Property Management System's API, whether it's a modern platform like Mews or an older system requiring custom adaptors. We typically use Python with httpx for asynchronous API calls to ensure the system can manage concurrent guest interactions efficiently.
The architectural core of such a system would be a state machine for each reservation, implemented as a FastAPI service. We utilize the Claude API for natural language understanding of guest communications. For instance, an SMS such as "We're hitting traffic, will be there closer to 9pm" would be processed by the Claude API to correctly extract and update the expected arrival time within your PMS. We have experience building document processing pipelines using Claude API for financial documents, and the same pattern applies to parsing varied text inputs from guests in the hospitality context. The system would include logic to manage various guest states and handle exceptions, such as failed ID scans or declined credit cards, based on rules you define.
The FastAPI application would be deployed on AWS Lambda, a serverless architecture where hosting costs for this type of system are often low. For properties with smart locks from providers like Salto or Assa Abloy, we would integrate directly with their cloud APIs to issue digital keys. If physical key cards are in use, the engagement would include installing a small on-premise Raspberry Pi gateway to connect your existing key card encoder to the cloud system, enabling automated key creation upon successful check-in.
All guest interactions and system actions would be logged to a Supabase database, with a retention policy defined in collaboration with your team. We would configure alerts, for example in Slack, to notify staff of any critical issues like an unresponsive PMS API or a payment gateway error. As part of the engagement deliverables, we would develop a simple dashboard to provide visibility into system operations, showing metrics like the rate of automated check-ins, average processing times, and frequently encountered guest issues.
What Are the Key Benefits?
Go Live in 4 Weeks, Not 4 Quarters
From PMS integration to the first automated guest check-in in 20 business days. We bypass lengthy vendor onboarding and build directly for your specific workflow.
One-Time Build, No Per-Guest Fees
This is a single scoped project, not a recurring SaaS subscription. After launch, you only pay for minimal cloud hosting, not a fee for every check-in.
You Own the Source Code
You receive the full Python source code in your private GitHub repository, along with a complete deployment runbook. There is no vendor lock-in.
Proactive Alerts for Failed Check-ins
The system monitors itself. If the PMS API is down or a payment fails for a VIP, it sends an immediate alert to your operations channel with reservation details.
Connects to Your Existing PMS
We build direct API connections to your property's software, whether it's Cloudbeds, Mews, or a legacy on-premise system. No need to change your core tools.
What Does the Process Look Like?
Workflow Mapping (Week 1)
You provide read-only access to your PMS and walk us through your current check-in process. We deliver a detailed process flow diagram mapping every guest touchpoint.
Core AI Engine Build (Week 2)
We build the FastAPI service and Claude-powered conversational logic. You receive a private link to a test environment to interact with the AI agent via SMS.
PMS Integration and Deployment (Week 3)
We connect the AI agent to your PMS and payment gateway on a staging server. We deliver a test plan for you to run through 15 common guest scenarios.
Launch and Monitoring (Week 4+)
We go live with the first batch of reservations. For 30 days post-launch, we provide active monitoring and tuning, delivering weekly performance reports.
Frequently Asked Questions
- What does a custom check-in automation system cost?
- Pricing is based on the complexity of your PMS integration, the number of communication channels (SMS, email, WhatsApp), and any physical hardware integrations. A typical engagement is a one-time build fee, not a recurring subscription. We can provide a detailed proposal after a 30-minute discovery call to discuss your exact needs.
- What happens if the automation fails for a guest checking in at 2 AM?
- The system is designed to fail gracefully. If any step fails, it automatically notifies the on-call staff member via SMS with the guest's name and issue. For critical outages, our support plan includes PagerDuty alerts with a 1-hour response time. The guest is never left without a path to resolution, and staff is always aware of exceptions.
- How is this different from using a PMS App Store solution like Operto or Duve?
- Off-the-shelf apps enforce their own workflow on your hotel. We build your exact workflow into the software. If you want to offer early check-in only to repeat guests who book direct, we build that specific logic. Those platforms cannot handle custom business rules that require checking multiple conditions across different systems.
- Will this feel robotic or impersonal to our guests?
- No, the opposite. We use the Claude API to ensure communication is natural and conversational. The AI handles the transactional parts (ID, payment) quickly, so your staff can focus on personal welcomes and concierge services. It improves the experience by eliminating queues and administrative friction for guests who prefer self-service.
- Do we need to buy new door locks or hardware?
- Not necessarily. We integrate with modern smart lock systems like Assa Abloy or Salto via their cloud APIs. For older magstripe key card systems, we can often install a small, on-premise device that connects the key card encoder to our system, avoiding a costly full hardware replacement. We assess this during discovery.
- How do you handle sensitive guest data like IDs and credit cards?
- We never store full credit card numbers; we use tokenization via your existing payment processor like Stripe. Guest ID images are processed in-memory for verification and then permanently deleted within seconds. All data is encrypted in transit and at rest. You receive a full data flow diagram outlining how information moves securely through the system.
Ready to Automate Your Hospitality & Tourism Operations?
Book a call to discuss how we can implement ai automation for your hospitality & tourism business.
Book a Call