Calls arrive while organizers are on-site
Capture enough detail to route the call, score urgency, and create a follow-up record.
A Call App is a shareable AI phone workflow that answers calls, asks questions, captures structured data, and triggers a next step. For events, that means event teams handling rsvp, vendor, attendee, and booth calls.
Capture enough detail to route the call, score urgency, and create a follow-up record.
Capture enough detail to route the call, score urgency, and create a follow-up record.
Capture enough detail to route the call, score urgency, and create a follow-up record.
AI disclosure: "Hi, this is the CallURL call workflow for events. I can collect details and send them to the team. If this is urgent or unsafe, I will flag it for a person."
Opening question: "Will you be attending?"
Escalation: Security or accessibility issue; Vendor contract question; VIP or media inquiry.
{
"outcome": "events call outcome",
"fields": [
{
"description": "caller name captured during the call.",
"name": "caller_name",
"required": true,
"type": "text"
},
{
"description": "phone number from caller id captured during the call.",
"name": "phone_number_from_caller_id",
"required": true,
"type": "text"
},
{
"description": "event name captured during the call.",
"name": "event_name",
"required": true,
"type": "text"
},
{
"description": "request type captured during the call.",
"name": "request_type",
"required": true,
"type": "text"
},
{
"description": "date time captured during the call.",
"name": "date_time",
"required": true,
"type": "date"
},
{
"description": "party size or role captured during the call.",
"name": "party_size_or_role",
"required": false,
"type": "number"
},
{
"description": "next action captured during the call.",
"name": "next_action",
"required": false,
"type": "text"
}
]
}
AI: Hi, I am the AI phone workflow for events. Will you be attending?
Caller: I am calling about vendor load-in times.
AI: How many people are in your party?
Caller: The vendor needs parking instructions and a coordinator callback.
Make the first screen and opening line match what the caller will actually get. For AI phone agent for events, 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 caller name, phone number from caller id, event name, then send a summary that Event organizer 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 security or accessibility issue, vendor contract question, vip or media inquiry 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.
It should handle repeatable calls where a caller can explain the situation and the business needs a structured follow-up. For events, the best first workflows are usually event rsvp, customer intake, missed-call recovery, and routing calls that need an owner review.
A person should handle emergencies, safety issues, regulated advice, pricing exceptions, complaints that need judgment, and callers who ask for a human. The Call App should collect context, label the risk, and pass the caller to staff when security or accessibility issue, vendor contract question, vip or media inquiry appears.
The useful output is not just a transcript. The team should receive fields such as caller name, phone number from caller id, event name, a short summary, urgency, and the next action. That makes the call easier to route than a voicemail or missed-call notification.
Run at least three calls: a routine event rsvp call, an incomplete caller who skips details, and a sensitive handoff case. The workflow is ready when staff can understand the saved outcome without replaying the whole conversation.
Start with the industry-specific prompt, schema, handoff rules, and demo flow shown on this page.