Can Conversational AI Handle Insurance Quotes? What It Does and Where Your Producer Takes Over

Key Takeaways

• Conversational AI can collect quote data by text or voice and return a real number when it’s connected to your rater.

• The rater calculates the premium, so the AI never has to guess a price.

• Advice, coverage recommendations, and binding stay with your licensed producer in Mav’s model.

• AI voice calls fall under the TCPA’s consent rules (FCC, 2024), so consent comes first.

• The win is speed and consistency on every lead, with ready buyers handed to a producer on a live call.

Introduction

Conversational AI can handle insurance quotes, as long as a rater produces the number and a licensed producer gives the advice. The AI collects rating fields by text or voice, runs them through your rater, and hands ready buyers to a producer.

Liberty Mutual launched a conversational AI quoting app inside ChatGPT on May 28, 2026. It covers personal auto in seven states: Arizona, Kentucky, Ohio, Missouri, New Mexico, Utah, and Wisconsin. The app quotes through Liberty’s own rating engine, and consumers finish coverage selections and bind on LibertyMutual.com (Insurance Business, 2026).

Consumers are already researching this way. Early J.D. Power data shows two-thirds of consumers use AI while researching insurance coverage (J.D. Power via Repairer Driven News, 2026).

A carrier app quotes one carrier’s product. Your agency works every lead you buy and quotes across appointed carriers, and your producers need to be on the calls that close.

So the useful question for an agency is what AI does with your leads and your rater, and where exactly your producer takes over.

What Conversational AI Can and Can’t Do With a Quote

On the AI side, a quote is intake plus the rater run. The AI starts the conversation seconds after a lead posts and gathers the rating fields: vehicles, VINs, drivers, household, home details, prior carrier, budget, and intent. Where your comparative rater is connected, it pushes those fields through and shares the number that comes back.

It also works the quotes your team already ran. Quoted-not-sold leads get a follow-up cadence that keeps going after your producers’ days fill up.

The licensed side is smaller, and the law defines it.

Under the NAIC Producer Licensing Model Act, selling, soliciting, and negotiating insurance require a license. “Negotiate” covers offering advice directly to a purchaser about the benefits, terms, or conditions of a particular contract (NAIC Model #218). That’s a model act, and each state enacts its own version.

Mav’s design keeps coverage advice, recommendations, and binding with a licensed producer. We built it that way on purpose, because it’s the conservative, agent-protective position. Have your counsel confirm how your state’s licensing rules apply to your workflow.

Here’s how the work splits in Mav’s model:

Task	Conversational AI (Mav)	Licensed producer
First touch	Sends the first text in seconds, nights and weekends included	Takes over once the lead is ready
Data intake	Collects vehicles, drivers, household, home details, and prior carrier	Reviews the full thread before the call
Rater run	Runs the fields through your connected rater and shares the number	Walks the buyer through the quote
Explain what a deductible is	Explains the term in plain language	Answers follow-up questions in context
Recommend coverage limits	Routes the question to a producer	Recommends limits that fit the household
Compare carriers for fit	Shares the rates your rater returns	Advises which appointed carrier fits best
Bind	Warm-transfers the buyer on a live call	Binds the policy
Service	Servicing playbook coming soon	Handles service requests today

Mav does the work that doesn’t need a license, and your producers do the human part.

How an AI Insurance Quote Actually Works, Step by Step

This is the workflow Mav runs inside New Premium, the playbook for new leads. Each step hands the next one clean data.

Step 1: First Text in Seconds, Consent Already Checked

A lead posts from a vendor like EverQuote, SmartFinancial, or QuoteWizard, or from your web form, with written consent attached. Before anything goes out, Mav runs a DNC scrub, validates the phone number, and checks the consent token.

Then the first text goes out in seconds, on your script and your brand.

Text goes first because most people screen their calls. In Hiya’s 2026 survey of more than 12,000 consumers in six countries, 86% said they don’t immediately answer unknown calls (Hiya, 2026).

Calls still matter. Mav runs a 45 to 60 day cadence of texts and calls inside each state’s contact rules, and one opt-out stops it. Our breakdown of voice AI vs. SMS AI for insurance leads covers how the two channels split the work.

Step 2: Intake That Asks Each Question Once

Intake usually eats the first five minutes of every call: year, make, model, VINs, who drives what, garaging address, prior carrier, and continuous coverage.

Mav asks each question once, by text, on the lead’s schedule. It handles messy answers, too.

A reply like “2019 Camry, my daughter drives it to school” gives Mav a vehicle, a second driver, and a use. It then asks only for what’s missing, like her date of birth and license status.

You can upload your agency’s training manual, so Mav qualifies the way your best producer does. It reads intent along the way: shopping now, shopping at renewal, or checking a price. For more, see how conversational AI qualifies insurance leads and books appointments.

Step 3: The Rater Produces the Number

This step is where accuracy comes from. The large language model gathers the fields, and the rating system generates the premium.

Guidewire lays out that architecture for carriers and says early GPT quoting attempts without it were “inconsistent and error-prone” (Guidewire, 2026). Liberty Mutual built its ChatGPT app the same way, drawing on its own rating engine so the model never generates an indicative price (Insurance Business, 2026).

An estimate is a model’s guess at a premium. The rater’s number applies carrier rates and rules to the exact fields your lead gave. If the price changes at bind, you usually lose the buyer’s trust, and the policy with it.

Mav quotes through your agency’s rater where it’s connected, so the number your lead sees is the number your rater produced. See the rater, CRM, and AMS integrations Mav connects to, and how Mav Cognitive prevents AI hallucinations.

Step 4: Warm Transfer to a Licensed Producer

When the lead is ready, Mav confirms a good time, then calls the lead and your producer together on a live conference. Your producer joins with the whole thread in hand: the vehicles, the drivers, the rater’s number, and every answer the buyer already gave.

Nobody asks for the VIN twice. Your producer spends the call advising, recommending coverage, and binding.

After the call, Mav transcribes it with PII redacted and writes the disposition: quote delivered, price objection, policy sold, or follow-up needed. It posts that to your CRM or AMS, including Applied Epic, Salesforce, and HubSpot, so nothing gets retyped. Read more on how AI texting integrates with your insurance CRM.

Compliance Guardrails for AI Quoting

AI quoting runs on consent, and the rules for AI voice are already on the books. In February 2024, the FCC ruled that the TCPA’s restrictions on “artificial or prerecorded voice” cover AI technologies that generate human voices (FCC, 2024).

That puts AI voice calls under the same consent rules as prerecorded calls. They need prior express consent, and telemarketing calls need prior express written consent. The ruling applies the TCPA’s consent, caller ID, and opt-out requirements to AI voice calls. It doesn’t ban them.

Texas went further on oversight. TDI Bulletin B-0003-26, issued June 12, 2026, is addressed to all regulated entities “and their agents and representatives” (TDI, 2026). When AI makes a consequential decision, TDI expects a person to review and agree with it before action is taken.

Nationally, NAIC reports 29 jurisdictions had adopted its AI model bulletin as of October 8, 2026 (NAIC, 2026). That bulletin is addressed to insurers, and it’s separate from producer licensing.

Mav’s guardrails run on every conversation. Each state’s contact windows apply automatically across text and voice, and every message carries a clear opt-out. Transcripts are PII-redacted, and Mav is SOC 2 Type 1 certified, with Type 2 pending.

For more detail, read how conversational AI stays TCPA compliant in insurance, then confirm your own consent practices with your compliance team or counsel.

What Changes for Your Book When AI Runs the Quote Intake

Agencies using Mav see 30% higher lead conversion on the same lead spend (Mav customer data). They also see 24% lower cost per acquisition on paid leads and 50% lower cost of service compared with a call center.

Follow-up drives much of that. Of the leads that convert, 44% come from a follow-up. Manual follow-up usually stops around day two because nobody has the bandwidth, and Mav’s cadence keeps going for 45 to 60 days.

The same cadence works the leads you’ve already paid for. Aged, abandoned, and quoted-not-sold leads in your CRM get the same intake and rater run as a fresh one. See why aged insurance leads are worth working at scale.

Farmers agency owner Jason Fleming in Plano, Texas, has scaled with Mav for two years. His agency writes over $300K a month in P&C premium.

Mav is listed on Liberty Mutual’s Agent for the Future AI-Driven Vendors for Independent Insurance Agents. It’s a REACH member, and it’s trained on insurance across tens of millions of conversations.

The biggest change shows up in your producers’ day. They spend it on live calls with buyers who are ready to talk coverage, while Mav handles the chasing.

Conclusion

Conversational AI handles insurance quotes well when the work splits cleanly. AI handles intake and runs the rater. Your producer gives the advice, recommends coverage, and binds the policy.

That split is what makes AI quotes worth trusting. The buyer hears a real premium, answers each question once, and talks to a person when it counts. Every lead gets a first text in seconds, quoted-not-sold leads get worked, and producers spend the day closing.

Mav runs that workflow today inside New Premium, with consent checks, state contact windows, and an opt-out on every message. Grow the book. Keep the book. Service it for less.

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FAQ

Can conversational AI quote insurance?

Yes, when it’s connected to a rater that produces the premium from the fields it collects. Mav quotes through your agency’s rater where it’s connected, so the number your lead sees is the one your rater produced.

Are AI insurance quotes accurate?

They’re as accurate as the rater and the inputs behind them. When the model gathers the fields and the rating system generates the premium, the quote reflects real carrier rates and rules (Guidewire, 2026).

Does an AI need an insurance license to give quotes?

Producer licensing covers selling, soliciting, and negotiating insurance under the NAIC model act, and each state enacts its own version. Mav keeps advice, coverage recommendations, and binding with a licensed producer. Confirm how your AI quoting workflow fits your state’s rules with counsel.

Can AI bind an insurance policy?

Some carrier digital flows let consumers bind on their own, like Liberty Mutual’s, where buyers finish on LibertyMutual.com after a ChatGPT quote. In Mav’s model, a licensed producer advises the buyer and binds the policy.

Can AI quote insurance by text message?

Yes. Mav runs the intake by text first, calls when a call helps, and hands ready buyers to a licensed producer on a live call.

Will AI replace insurance agents?

No. Mav takes the intake and the follow-up, and your licensed producers keep advising, building relationships, and closing the business.