Automate Guest Check-In with a Custom AI Concierge
AI automates guest check-in by sending guests a secure pre-arrival link via SMS or email. Guests upload their ID and payment details, receiving a digital room key without any staff interaction.
Key Takeaways
- AI automates guest check-in by sending guests a secure link to upload their ID and payment details before arrival.
- The system verifies documents, processes payments, and sends a key code directly to the guest's phone via SMS.
- This process eliminates front desk queues and can reduce guest check-in times to under 60 seconds.
Syntora designs custom AI check-in systems for small hotels to eliminate front desk queues. The system uses AI to verify guest IDs and process payments pre-arrival, reducing staff workload. This approach can shorten guest check-in time to under 60 seconds without expensive kiosk hardware.
The scope of a custom build depends on your hotel's Property Management System (PMS). A property using a modern PMS with a documented API, like Mews or Cloudbeds, allows for a straightforward 4-week build. Older, on-premise systems without accessible APIs require more complex integration work and can extend the timeline.
The Problem
Why Do Small Hotels Still Process Guest Check-Ins Manually?
Many small hotels rely on their Property Management System's built-in communication tools. These can send templated emails but lack the intelligence to manage an interactive, multi-step check-in. The PMS can send a welcome message, but it cannot automatically verify a driver's license photo submitted in response or handle a failed credit card pre-authorization.
Consider a 20-room boutique hotel that emails guests 24 hours before arrival, asking for a photo of their ID. A front desk employee must manually open each email, download the attachment, visually check the name against the reservation, and then manually run the credit card. If the ID is blurry or the card declines, the staff member begins a slow email exchange. This takes over 5 minutes per guest and creates a poor experience, especially for late arrivals when the front desk is unstaffed.
The structural problem is that a PMS is a database, not a workflow engine. Its automation features are designed for one-way notifications, not stateful, two-way interactions involving document verification. Third-party check-in apps like Operto or EnsoConnect charge high per-door monthly fees for a generic product that imposes its workflow on your brand. You are forced to adapt your process to their software.
Our Approach
How Syntora Builds a Custom AI-Powered Pre-Arrival Check-In System
The first step would be a complete audit of your current guest check-in workflow. Syntora maps every step from the booking confirmation to the guest entering their room. We analyze your PMS's API to find the best integration points. Following this audit, you receive a clear scope document detailing the proposed system, how it connects to your existing software, and a firm project timeline.
The system would be a FastAPI service hosted on AWS Lambda that manages all check-in logic. It would trigger an SMS to the guest with a unique, secure link to a page hosted on Vercel. On this page, the guest uploads their ID. The backend uses the Claude API to parse the ID, extracting the name and date of birth for verification against the reservation data. We've applied this same document processing pattern to extract data from complex financial statements for other clients. Stripe's API handles the payment pre-authorization.
The final system connects your PMS to your smart lock provider's API. After successful verification, the system generates a key code and sends it to the guest's phone 30 minutes before check-in time. Your staff gets a simple Supabase-backed dashboard to monitor statuses and manually intervene if an exception occurs. You receive the complete source code, documentation, and full ownership of the system.
| Manual Front Desk Check-In | Syntora's Automated Pre-Arrival Check-In |
|---|---|
| Guest waits 5-15 minutes in a queue at the desk. | Guest completes process in under 60 seconds on their phone. |
| Staff spends 5-10 minutes per guest on data entry. | Staff spends 30 seconds reviewing exceptions only. |
| Data entry error rate from manual transcription is 1-4%. | Automated ID parsing achieves an error rate under 0.1%. |
| Requires expensive kiosk hardware ($5k-$15k per unit) for automation. | One-time build cost with hosting under $50/month. |
Why It Matters
Key Benefits
One Engineer, End-to-End
The engineer on your discovery call is the one who writes the code. No project managers, no communication gaps, just direct collaboration with the builder.
You Own Your System
You receive the full source code in your GitHub repository and a runbook for maintenance. There is no vendor lock-in or recurring per-door software license.
Realistic 4-Week Build
For hotels with a modern PMS API, a typical check-in automation system can be scoped and deployed in 4 weeks. We provide a firm timeline after the initial discovery.
Transparent Post-Launch Support
Optional monthly support covers system monitoring, updates, and troubleshooting for a flat fee. You know exactly who to call if an issue arises.
Hospitality Workflow Understanding
The system is designed around the guest experience, not just technology. We account for real-world scenarios like group bookings, early check-in requests, and declined payments.
How We Deliver
The Process
Discovery & PMS Audit
A 30-minute call to understand your current check-in process and guest journey. You provide temporary, read-only access to your PMS API documentation, and receive a detailed scope proposal within 48 hours.
Architecture & UX Approval
Syntora presents the technical architecture and a wireframe of the guest-facing check-in flow. You approve the design and integration plan before any code is written.
Iterative Build & Testing
You get weekly progress updates and access to a staging environment to test the check-in flow with sample reservations. Your feedback is incorporated before the final deployment.
Handoff & Go-Live Support
You receive the complete source code, deployment scripts, and a runbook. Syntora monitors the system closely for the first 14 days after go-live to ensure a smooth transition for your staff and guests.
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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
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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
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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
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You own everything we build. The systems, the data, all of it. No lock-in
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