AI Automation/Hospitality & Tourism

Develop a Custom AI System for Guest Check-In Automation

A custom AI system for hotel guest check-in automation costs $20,000 to $45,000. The system handles ID verification, payment collection, and digital key issuance for guests.

By Parker Gawne, Founder at Syntora|Updated Mar 11, 2026

Key Takeaways

  • A custom AI system for hotel guest check-in costs $20,000 to $45,000 for initial development.
  • The system automates ID verification, payment collection, and digital key issuance through a simple web app.
  • Syntora integrates directly with your existing Property Management System (PMS) and door lock hardware.
  • The automated process can reduce the average guest check-in time from 5 minutes to under 60 seconds.

Syntora designs custom AI guest check-in systems for boutique hotels managing 40-60 daily arrivals. The automation reduces manual front desk check-in time by over 80%. Syntora's system integrates with existing PMS platforms like Mews or Cloudbeds using a custom FastAPI service and the Claude API for ID verification.

The final cost depends on the complexity of the integration with your Property Management System (PMS), the type of door lock hardware in use, and the number of booking channels that need to be supported. A hotel using a modern PMS with a well-documented API like Mews requires less development time than one using a legacy system with limited connectivity.

The Problem

Why Do Hotels Still Struggle with Inefficient Guest Check-In Processes?

Many boutique hotels rely on their PMS's built-in "contactless check-in" module. These tools, from platforms like Cloudbeds or Oracle OPERA Cloud, are often just simple web forms. They can collect guest information but fail when anything deviates from the ideal scenario. A blurry ID photo or a name mismatch between the booking and the ID forces the guest to call the front desk, defeating the entire purpose of automation.

Consider a common scenario: a family with a reservation made through Expedia arrives late at night. The self-service kiosk or check-in link fails because the OTA data has a slight variation from the PMS record. The system presents a generic error message, leaving the guests stranded in the lobby while the night auditor is handling another issue. These off-the-shelf modules cannot handle group check-ins with separate IDs, split payments, or data discrepancies from third-party channels.

The structural problem is that PMS add-ons are designed as a generic feature, not a core operational system for your specific property. Their workflows are rigid and tied directly to the PMS data model. You cannot customize the logic to match your hotel's unique policies or integrate with a keycard encoder that isn't on the PMS vendor's official partner list. This forces you to adapt your operation to the software's limitations, rather than the other way around.

Our Approach

How Syntora Builds a Custom AI Check-In Flow for Hospitality

The engagement would begin with a detailed audit of your current guest workflow. Syntora would map every step from the moment a booking is confirmed to when a guest enters their room. This involves reviewing your PMS API documentation, understanding how you handle arrivals from different channels like Booking.com vs. direct, and identifying the specifications for your door lock or keycard system. This audit produces a clear integration plan before any code is written.

The technical core would be a FastAPI service hosted on AWS Lambda. This service acts as the orchestration engine, first pulling reservation details from your PMS. For ID verification, the guest would upload a photo of their ID to a secure web app. The FastAPI service sends this image to the Claude API, which extracts the name and date of birth for comparison against the reservation. We have built similar document processing pipelines for financial services, and the same pattern applies to hospitality IDs. Payment is handled via your existing gateway's API, ensuring PCI compliance.

The final deliverable is a self-contained system that slots directly into your operation. Guests interact with a simple, mobile-friendly web interface hosted on Vercel. Your staff would have access to a small dashboard, built with Supabase, that shows the status of all incoming check-ins and flags any exceptions (e.g., failed ID verification) for manual review. Check-in completion status is written back to your PMS automatically.

Manual Front Desk Check-InSyntora's Automated Check-In
5-7 minutes per guest arrivalUnder 60 seconds per guest
Front desk staff required for 100% of arrivalsStaff intervention needed for <5% of exceptions
High risk of data entry errors from ID to PMSZero data entry errors with automated ID parsing

Why It Matters

Key Benefits

01

One Engineer, From Discovery to Deployment

The person on the initial discovery call is the engineer who will write every line of code. There are no project managers or handoffs, ensuring your requirements are translated directly into the final system.

02

You Own All the Code and Infrastructure

You receive the full source code in your own GitHub repository and a runbook for maintenance. The system runs on your cloud account, so there is no vendor lock-in.

03

A Realistic 4-6 Week Build Timeline

For a single property with a modern PMS, a production-ready system can be delivered in 4-6 weeks. The timeline is set after the initial PMS and hardware audit.

04

Transparent Post-Launch Support

An optional monthly maintenance plan covers API changes from your PMS vendor, security patches, and system monitoring. You get proactive support, not a help desk ticket.

05

Designed for Real Hotel Workflows

The system is built to handle the exceptions of hotel operations, like group bookings and data mismatches from OTAs, not just the perfect-path scenario.

How We Deliver

The Process

01

Discovery Call

A 30-minute call to discuss your property's PMS, daily arrival volume, and current check-in challenges. You receive a written scope document within 48 hours detailing the proposed approach.

02

Technical Audit and Architecture

You provide read-only API access to your PMS and documentation for your lock hardware. Syntora maps the complete data flow and presents a technical architecture for your approval before the build begins.

03

Build and Weekly Iteration

You get access to a development version of the application within two weeks. Weekly check-in calls ensure the system is being built to your exact operational needs, with opportunities for feedback.

04

Handoff and Support

You receive the complete source code, a deployment runbook, and a short training guide for your staff. Syntora actively monitors the first 100 guest check-ins to ensure a smooth transition.

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The Syntora Advantage

Not all AI partners are built the same.

AI Audit First

Other Agencies

Assessment phase is often skipped or abbreviated

Syntora

Syntora

We assess your business before we build anything

Private AI

Other Agencies

Typically built on shared, third-party platforms

Syntora

Syntora

Fully private systems. Your data never leaves your environment

Your Tools

Other Agencies

May require new software purchases or migrations

Syntora

Syntora

Zero disruption to your existing tools and workflows

Team Training

Other Agencies

Training and ongoing support are usually extra

Syntora

Syntora

Full training included. Your team hits the ground running from day one

Ownership

Other Agencies

Code and data often stay on the vendor's platform

Syntora

Syntora

You own everything we build. The systems, the data, all of it. No lock-in

Get Started

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FAQ

Everything You're Thinking. Answered.

01

What factors determine the final price?

02

How long does a custom check-in system take to build?

03

What happens after the system is handed over?

04

How do you handle sensitive guest data like IDs and credit cards?

05

Why hire Syntora instead of a larger development agency?

06

What do we need to provide to get started?