1. Open with context
What are you trying to solve?
Qualifies inbound prospects by need, timeline, budget, and fit, then sends sales-ready notes to the team.
What are you trying to solve?
What timeline are you working toward?
Do you have a rough budget range?
What are you trying to solve?
What timeline are you working toward?
Qualify inbound leads by phone. Ask about the problem, budget, timing, decision process, and desired next step. Do not invent pricing. Save a structured lead qualification outcome.
{
"outcome": "Lead qualification 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": "need captured during the call.",
"name": "need",
"required": true,
"type": "text"
},
{
"description": "budget range captured during the call.",
"name": "budget_range",
"required": true,
"type": "number"
},
{
"description": "timeline captured during the call.",
"name": "timeline",
"required": true,
"type": "date"
},
{
"description": "decision maker captured during the call.",
"name": "decision_maker",
"required": false,
"type": "text"
},
{
"description": "fit score captured during the call.",
"name": "fit_score",
"required": false,
"type": "number"
},
{
"description": "recommended next step captured during the call.",
"name": "recommended_next_step",
"required": false,
"type": "text"
}
]
}
AI: Hi, I am an AI call workflow for Lead qualification. What are you trying to solve?
Caller: We are comparing options and want to know whether this would fit us.
AI: What timeline are you working toward?
Caller: We have budget approved this quarter if the setup is straightforward.
Make the first screen and opening line match what the caller will actually get. For Lead qualification, 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, need, then send a summary that the workflow owner 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 enterprise buyer, procurement or legal process, caller asks for binding pricing 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.
Use it when the call is repeatable, the team already knows the information they need, and the caller benefits from speaking instead of filling out a form. It works best for quote requests, consultation booking, high-volume inbound campaigns.
The first question should identify the caller goal and gather enough context to continue naturally. For this template, start with: "What are you trying to solve?". Keep follow-ups short so the caller does not feel like they are reading a form over the phone.
Save a structured result with caller name, phone number from caller id, need, plus a summary, completion status, and handoff reason when needed. The owner should be able to act on the result without interpreting raw transcript text.
Human handoff should trigger when the caller needs judgment, asks for a person, gives conflicting answers, or matches one of the workflow-specific rules: enterprise buyer, procurement or legal process, caller asks for binding pricing.
The template includes prompt, questions, output fields, sample transcript, handoff rules, and a live call entry point.