Prompt Library

Return Request Intake AI phone prompt

Return Request Intake AI phone prompt: copy a workflow-ready prompt with opening disclosure, question path, structured fields, and human handoff rules.

Browse prompts

Copyable prompt

Goal: Collects return reason, order details, condition, and policy edge cases for a support team.

Opening disclosure: Hi, this is a CallURL AI phone workflow for Return request intake. I can collect details and send them to the team.

Questions: What order is this for? | Why do you want to return it? | Has the item been used or opened?

Structured fields: caller_name, phone_number_from_caller_id, order_number, return_reason, item_condition, purchase_date, policy_exception, requested_resolution

Human handoff: Policy exception; Damaged or unsafe item; Refund dispute

Completion action: create a return request record.

Prompt requirements

Open with AI disclosure
Ask one question at a time
Capture caller ID automatically where available
Escalate sensitive calls to a person

Data captured

caller name
phone number from caller id
order number
return reason
item condition
purchase date
policy exception
requested resolution

Structured output schema

{
  "outcome": "Return Request Intake AI phone prompt 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": "order number captured during the call.",
      "name": "order_number",
      "required": true,
      "type": "text"
    },
    {
      "description": "return reason captured during the call.",
      "name": "return_reason",
      "required": true,
      "type": "text"
    },
    {
      "description": "item condition captured during the call.",
      "name": "item_condition",
      "required": true,
      "type": "text"
    },
    {
      "description": "purchase date captured during the call.",
      "name": "purchase_date",
      "required": false,
      "type": "date"
    },
    {
      "description": "policy exception captured during the call.",
      "name": "policy_exception",
      "required": false,
      "type": "text"
    },
    {
      "description": "requested resolution captured during the call.",
      "name": "requested_resolution",
      "required": false,
      "type": "text"
    }
  ]
}

Quality gate

Unique workflow artifact on the page
Visible script, checklist, or question set
Human handoff rules for sensitive calls
Product CTA that creates a real Call App
Internal links to related templates and compliance pages

How to use this resource

Build the first version

Use the page as a launch brief, not a finished policy document. Copy the prompt into the builder, keep the workflow limited to one caller intent, and test whether the first two questions collect enough context for a useful owner follow-up.

Review the output

Before publishing, check that the saved outcome has useful fields for the team: caller name, phone number from caller id, order number. Remove fields that are not needed, and route regulated, urgent, or ambiguous calls to a person instead of forcing automation.

Measure quality

Track whether callers finish the flow, whether owners understand the summary, and whether handoff rules trigger at the right time. A useful Call App should reduce missed context, not just answer the phone with a longer script.

Improve the page

When this workflow starts getting impressions or demo calls, add real examples from the use case: a better transcript, a refined schema, integration notes, and clearer exclusions for cases the AI phone workflow should not handle.

FAQ

Who should use Return Request Intake AI phone prompt?

Return Request Intake AI phone prompt is for teams that want a callable workflow instead of a static page or loose voicemail. It is most useful when callers need to explain context out loud and the team needs a repeatable result with caller name, phone number from caller id, order number.

What should I customize before launching it?

Start with the copyable prompt, then edit the opening disclosure, required questions, handoff rules, and owner notification. Keep the first version narrow: one caller goal, one output schema, and one clear next action after the call.

How does this connect back to CallURL?

The page is written as a practical starting point for a real Call App. Use the visible prompt, schema, examples, and related workflow links to create a working phone flow, then test it with routine, incomplete, and sensitive caller scenarios.

What makes this page different from a generic AI phone agent page?

This resource is centered on a specific workflow artifact, not broad product copy. It includes concrete fields, handoff rules, related templates, and a demo entry point so a visitor can judge whether return request intake ai phone prompt fits their use case.

Return Request Intake template Return Request Intake schema Prompt grader AI disclosure guide

Create this Call App

Use the prompt, schema, handoff rules, and examples on this page as the starting point for a working CallURL Call App.