Make a restaurant menu callable with a QR-linked AI phone workflow. A menu that can answer common questions and capture catering or allergy follow-up requests.
Create a restaurant menu Call App that captures menu questions, dietary notes, party size, event date, and routes allergy questions to staff.{
"outcome": "restaurant menu call outcome",
"fields": [
{
"description": "menu question captured during the call.",
"name": "menu_question",
"required": true,
"type": "text"
},
{
"description": "dietary note captured during the call.",
"name": "dietary_note",
"required": true,
"type": "text"
},
{
"description": "party size captured during the call.",
"name": "party_size",
"required": true,
"type": "number"
},
{
"description": "date captured during the call.",
"name": "date",
"required": true,
"type": "date"
},
{
"description": "manager follow-up captured during the call.",
"name": "manager_follow-up",
"required": true,
"type": "text"
}
]
}AI: Hi, I am the AI workflow attached to this restaurant menu. What do you need help with?
Caller: I need to know whether you can handle a nut allergy for a group dinner.
AI: What should the owner know before they follow up?
Caller: Please save this for restaurant manager.
The best location is where the caller already understands the object and needs action: a room sign, product label, manual, invoice, package, or field asset. The surrounding copy should say what the call will create for the owner.
Start with one owner, one notification path, and one structured outcome. If callers use the same QR code for multiple needs, add a first question that classifies intent before collecting detailed fields.
Make the first screen and opening line match what the caller will actually get. For call this restaurant menu, the promise should be narrow enough that a caller understands the purpose before sharing details or scanning a QR code. Avoid broad claims like "we can help with anything"; a specific promise produces cleaner calls and clearer follow-up.
Decide which fields are required before the call can be considered complete. A practical first version should capture menu question, dietary note, party size, then send a summary that Restaurant manager can act on without replaying the call. If a field is not used for routing, qualification, scheduling, or review, remove it from the first launch.
Write down the cases that should not be automated. Use human review for allergy assurance, complaint, large event contract so the workflow stays useful without pretending to handle every edge case. Review the first real calls before connecting higher-risk actions or expanding the workflow.
A callable restaurant menu gives someone an immediate way to explain context while they are looking at the object, sign, room, document, or product. The QR code starts a phone workflow that captures the issue and sends the owner a structured result.
Use plain signage such as "Scan to call this restaurant menu" and explain what will happen after the call. Avoid vague labels. The caller should know they are contacting an AI workflow and that the result goes to restaurant manager.
The workflow should capture menu question, dietary note, party size, caller intent, urgency, and a practical next action. Do not ask for sensitive information unless the owner truly needs it and has the right consent and review process.
Escalate when the caller reports danger, sensitive information, access issues, payment disputes, or anything that needs a person. For this example, the main handoff triggers are allergy assurance, complaint, large event contract.
Use this object-specific workflow as the starting prompt, then print the QR code wherever the caller needs it.