Hotel Guest Risk Evidence Workbench
Supports hotel check-in and check-out operations with guest messaging, onboarding fraud screening, and chargeback evidence collection, while also enabling mobile and biometric workforce attendance capture for service teams.
The Problem
“Guest Check-in Risk and Communication Support for Hospitality Operations”
Organizations face these key challenges:
Buddy punching and inaccurate workforce attendance records
Guest messages spread across SMS, email, OTA channels, and PMS notes
Manual fraud checks during remote or self-service onboarding are inconsistent
Chargeback evidence is often incomplete, late, or hard to assemble
Front desk teams lack a single operational view of message status, risk flags, and required actions
Operational data is fragmented across PMS, POS, locks, cameras, workforce, and payment systems
Impact When Solved
The Shift
Human Does
- •Review every case manually
- •Handle requests one by one
- •Make decisions on each item
- •Document and track progress
Automation
- •Basic routing only
Human Does
- •Review edge cases
- •Final approvals
- •Strategic oversight
AI Handles
- •Automate routine processing
- •Classify and route instantly
- •Analyze at scale
- •Operate 24/7
Real-World Use Cases
Chargeback dispute evidence automation for hospitality stays
The system automatically saves proof that the guest agreed to the rules, checked in, and used the property, so false refund claims are harder to win.
Mobile and biometric time capture for workforce attendance
Workers can clock in from mobile apps or time clocks, and some setups can use fingerprints to confirm who is clocking in.
Multi-channel guest reservation messaging workflow
Hotel staff can create a message for one guest or many guests and send it through the best channel: printed note, SMS, room phone indicator, or in-room TV.
Customizable fraud-screening layer for hotel guest onboarding
The hotel uses software that looks for suspicious behavior during digital check-in so fake guests or impersonators are more likely to be stopped.