An AI assistant for restaurants should be assessed using the questions your restaurant actually receives. A natural voice is a starting point; correct content, booking rules and a clear way to handle what the assistant cannot confirm are needed, too.
Start with a question about the menu
Choose a dish and check that the assistant recognises it, gives the listed price and describes only the available information. Then try a question the menu does not fully answer. Reliable behaviour also includes knowing when to ask for a check.
For allergies and intolerances, published content does not replace speaking with staff. The assistant should not turn missing information into certainty. This check is more meaningful than a generic conversation prepared for a demonstration.
Follow the journey from question to table
After asking for information, try booking. The assistant must follow the restaurant’s rules and check availability according to the configuration. Check the outcome in the system and the details requested from the customer.
Repeat the test when a table is unavailable or a request exceeds normal limits. Not all integrations work the same way: the internal table engine and an external management system may offer different journeys.
Clarify the phone line connection
The phone connection needs to be assessed for the restaurant’s line. Some configurations may involve a dedicated number and call forwarding. Handing over to a person depends on having a phone system and the agreed functions.
Do not assume that “phone assistant” automatically means staff transfers, handling every exception or integration with every management system. Ask for the scope to be explained using concrete cases and tested before activation.
Information, privacy and people
Callers should know they are interacting with an AI system. If a conversation is recorded and transcribed, appropriate information and conditions for that processing are required. In the QRMenu demo, company archives are stored in HighTech’s Italian data centre; OpenAI model processing must be distinguished from that storage.
Use test data for the trial and read the privacy notice. If you prefer to speak with HighTech without a recorded call, use the contact form. The demo’s goal is to test the service, not collect unnecessary information.
What to look for in your trial
- Consistency between the answer, menu and published price.
- Clear questions when booking details are missing.
- Behaviour when availability or sufficient information is missing.
- Booking outcome in the configured system.
- The available route to request a human response.
Learn more and try it for your restaurant
Put GaIA to the test and read how to prepare your digital menu.
First see the menu. Then ask GaIA a question.
Il Giardino is a demo restaurant: explore the menu and test the journey from question to booking. To apply it to your own restaurant, tell us how you work.
Let’s talk about your restaurant. The QR menu is part of the GaIA service and is not sold separately.