Not all AI reception systems are built for hospitality — and choosing the wrong one can create more problems than it solves.
Hotels need tools that fit operations, not demos.
Start With Hospitality Fit
Ask:
- Does the system understand hotel workflows?
- Can it handle booking-related questions?
- Does it work after hours?
Generic voice bots often fail here.
Evaluate Customization Depth
A good AI receptionist should:
- Use your real policies
- Reflect your brand tone
- Adapt to your operations
This is especially important for properties focused on direct bookings, as discussed in “How AI Receptionists Improve Conversion Rates on Phone Inquiries.”
👉 See how Ralvie Frontdesk adapts to real hotel operations — book a demo.
Check Escalation and Fallback Logic
Critical questions:
- When does AI hand off to staff?
- Is context preserved?
- What happens when AI doesn’t understand?
Strong fallback logic protects guest trust.
Prioritize Reliability Over Features
Flashy features matter less than:
- Accuracy
- Availability
- Stability
👉 Create a free account and test AI reception in real scenarios.
