Personal auto
“I need car insurance.”
- Vehicle make and model
- Year
- Primary use
- Number of drivers
- Current carrier
- Renewal date
- Desired effective date
Insurance agencies & brokers / Quote preparation
A quote request often begins with very little detail. Before an agent can do anything useful, they need context. The exact information depends on the type of insurance.
“I need a quote for my car.”
Fields follow this quote type. Other product questions stay out of this path.
The AI Agent can collect only the information that matters for that quote type. Each path should feel specific to the insurance product rather than like a generic contact form.
“I need car insurance.”
“Can you quote my house?”
“I need coverage for my business.”
FOLLOW THE ANSWER, THEN CHOOSE THE NEXT QUESTION
Long intake forms create friction. A better workflow is conditional. The AI Agent can use the conversation to decide what question comes next.
If the prospect is requesting auto coverage, do not ask commercial property questions.
If the business has no vehicles, do not ask for fleet details.
If the prospect is already insured, current carrier and renewal timing may matter.
If they are uninsured, that branch can follow a different path.
The AI Agent can continue until the agency has the information needed for the next step.
I need a quote for my car.
I can help prepare the information for the agent. What year, make, and model is the vehicle?
2024 Toyota RAV4.
Is the vehicle mainly used for personal driving, commuting, or business?
Mostly commuting.
Are you currently insured?
Yes.
When does your current policy renew?
November 20.
The output should be easy for the team to review. The exact fields can vary by agency and product. The goal is to give the agent something operational, not just a transcript.
A prospect whose policy renews in six months may need a different follow-up than someone renewing next week. That information helps the agency decide the next action and timing.
Commercial insurance quote requests can be especially complex. A business owner may say, “I need insurance for my company.” That is not enough for an agent to know what comes next.
The AI Agent helps structure the inquiry before the licensed agent takes over.
Traditional forms often fail because prospects skip fields, misunderstand questions, or abandon the process. A conversation can handle this more naturally. The objective is not perfect automation. It is a more complete starting point.
Continue to the next relevant question.
If an answer is missing, the AI Agent can ask for clarification.
If a question is not relevant, it can skip it.
The workflow can continue and flag the missing item for the agent.
The AI Agent can collect factual information. Those decisions belong with the licensed agent, carrier, or underwriting workflow.
The intake experience can reflect the way the agency actually quotes business.
The AI Agent can use the information it has already collected to route the request appropriately. This reduces manual triage after submission.
This use case can be created using AskHandle nodes and AI Answer skills.
Collect the required quote information in a structured but conversational sequence.
Explain questions, clarify terminology, and answer general product or process questions during intake.
Use structured policy types, carrier requirements, classifications, agent assignments, or intake rules.
Route auto, property, commercial, or other quote requests into the appropriate workflow.
Bring in a licensed agent when the prospect has an unusual risk or professional review is required.
Yes. It can guide the prospect through the factual information the agency requires before an agent or quoting system takes over.
Yes. The workflow can branch based on whether the prospect needs auto, property, commercial, or another type of insurance.
Only when the agency has a verified quoting integration designed for that purpose. Otherwise, the AI Agent should prepare the information and hand the request to the agent or carrier workflow.
The workflow can continue, mark the field as missing, and let the agent follow up where needed.
Yes. The conversation can be converted into a structured quote-preparation summary with the fields the agency wants to review.
Yes. Routing can use policy type, geography, business type, agent assignment, or other agency-defined rules.
An insurance quote should not begin with the agent asking the same basic questions every time. A conversational intake can collect the details that matter, adapt to the policy type, and turn the inquiry into a usable summary.