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EPISODE 176 · INSURTECH TALKSNOV 4, 2026 · GILAD SHAI

Greg Patnod, Co-Founder & CEO of 1-800-INSURANCE

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Hot Lead, High Intent: Greg Patnod on 1-800-INSURANCE, Lead Gen for Insurers and Voice AI

Greg Patnod spent more than ten years inside the insurance industry, the last six at Willis Towers Watson, before he left in the summer of 2025 to co-found 1-800-INSURANCE with Kirk Brunson.

The company owns the phone number its name spells, and Greg calls it America’s Insurance Connection. When a consumer calls, a voice bot asks a few qualifying questions, and then, Greg says, five to 25 insurance providers bid on the call in a real-time auction that takes milliseconds. The highest bidder gets the transferred call. The business today is mostly lead generation: calls, web leads and clicks.

In Episode 176 of InsurTechTalk, Greg and I covered why a phone call is still the highest-intent lead in insurance, why a 1-800 number still works, how 1-800-INSURANCE earns trust in a business with a bad reputation, and what voice AI and AI assistants mean for agencies.

About Greg Patnod

Greg grew up near Boston. His father ran a trucking and construction business, Greg went to work with him from an early age, and he always knew he wanted to run his own business.

At 18, during his business degree, he interned at Liberty Mutual’s headquarters in Boston. Seeing how big the industry is and how much it matters to everyday people, he decided to learn everything he could about it. He went on to a regional independent agency, then to large commercial risk management at a healthcare company, as a buyer of insurance, and then to Willis Towers Watson for six years, working on biotech, M&A deals and corporate insurance for global companies.

For a long time, Greg says, he was a “wantrepreneur”, with ideas and a vision but never quite ready to jump. He prepared in the background: learning how deals get made, reading policies, going to conferences. The last catalyst was AI. As an early adopter, he saw that a small team could now do much more with fewer resources.

Meeting Kirk

Greg and Kirk Brunson, his co-founder and CTO, had been friends for seven or eight years before they started the company. They met at an event of a charitable organization they both belong to, where they were “the two youngest in the room.” When AI arrived, their occasional business catch-ups became a small mastermind group. Greg brought insurance, Kirk, a software engineer by trade, brought technology, and voice AI plus vanity phone numbers led to the question: what’s 1-800-INSURANCE, and why isn’t that a thing?

Why a 1-800 Number Still Works

I opened by asking what people say when Greg tells them where he works. His answer: vanity numbers have been part of American culture for three or four decades. 1-800-Flowers, 1-800-GOT-JUNK and 1-800 Contacts built category-defining brands on a phone number. When people hear 1-800-INSURANCE, even knowing nothing about the company, they assume it is big, that it is national, and that they can call it to get insurance. In Greg’s words, the simplicity of the brand “does a lot of the heavy lifting before we ever really say a word.”

What 1-800-INSURANCE Does

Greg starts with the consumer problem: in his view, years of rate increases with little explanation, on auto in particular, have left people squeezed by insurance that is expensive and confusing. The company meets consumers while they shop and matches them with insurers that want their business in their area and risk profile.

He named four lines today: auto, home, small business and life. Small business owners take to the brand, he says: if you’re in a truck and need a certificate, one phone call is easier than any process.

Inside the Call: A Voice Bot and a Real-Time Auction

I asked who is on the other side of the phone. Greg walked through the journey:

  1. A consumer sees the brand, most likely online while searching for insurance, and taps to call.
  2. A voice bot greets them and qualifies the call: what product, what ZIP code, a few more questions.
  3. The caller goes on a brief hold, with elevator music.
  4. Behind the hold, a real-time auction runs among five to 25 insurance providers. It takes milliseconds.
  5. The call is transferred to the highest bidder, typically a large insurance provider, whose team quotes and tries to close.

How the Bidding Works

Buyers set their bids in advance. They choose filters (the states they want, the risk types they want) and how much they will pay for each, dynamically. When a call comes in, its details go out as an API ping, hit each buyer’s filters, and the bids come back in real time. The call goes to the buyer who gets the most value from it.

For listeners who have never bought display advertising, I compared it to the ad that follows you around the web. There is an auction behind that ad, too. The difference here is that someone picked up the phone and gave their details, so insurers can bid on a real person with a real need.

Why Lead Gen Has a Bad Rap

I was looking for a polite way to describe lead gen’s reputation in insurance. Greg supplied it: “bad rap.”

His explanation is that lead gen was overdone. A consumer would fill in one web form and get calls, emails and texts from 30 different agencies. That made consumers wary of filling out forms at all. Greg has seen it himself: testing competitors’ funnels, he asked for a quote and was flooded with calls and texts.

The industry has adjusted, he says. Buyers now pay a premium for exclusive leads, sold to one insurer or agency rather than ten. He also pointed to pending federal rules on one-to-one consent, which would require a seller to tell the consumer who their information is going to. If that goes through, he says, it is a big deal for the industry.

What Buyers Tell Me

I told Greg I liked that he answered from the shopper’s side. When I ask agents and carriers about lead gen, I hear a different set of stories: stale leads, recycled leads that someone already passed on, leads that look fake or synthetic, and the vendor who promised a thousand leads and sent 852. Stories that feel a little fishy.

How 1-800-INSURANCE Is Different

Greg’s career has covered everything from an $89 renters policy, early on, to a biotech IPO. He says that range taught him how consumers feel about insurance, including how disenfranchised many of them feel.

His answer to lead gen’s reputation is to run as a premium operator. Everyone says that, he acknowledged. The difference, in his view, is that the brand is valuable in itself and worth protecting, because in lead gen a bad reputation becomes a downward spiral. The company aims for clean funnels and truthful advertising, unlike a “fly-by-night” comparison site that might send people down a sketchy funnel. The brand helps on the other side too: it is easier to walk into a meeting with a large insurer and say “we have 1-800-INSURANCE” than to pitch a random comparison website.

Do Younger Buyers Still Call?

I asked whether the coming generations make phone calls at all.

Greg’s answer: meet customers where they are. The brand covers the phone number and the website, 1800insurance.com, and he expects a deeper AI component later. He cited a statistic he had seen, possibly from J.D. Power, that 45 percent of personal auto shoppers completed the journey entirely online, which leaves the other 55 percent calling or going to an agent. Insurance is expensive, confusing and consequential, and some people would rather not fill out forms. Younger buyers lean online, but consumer behavior changes more slowly than technologists hope, so he sees calls staying relevant for a while.

Who Buys the Calls

Greg wouldn’t name clients, citing NDAs. His buyers are independent agencies, captives and carriers. The biggest are the household names you see advertising on TV, which have, in his words, “a voracious lead-buying appetite.”

Growth Mandates by State

Buying starts with corporate strategy. Greg’s hypothetical: a carrier wants to grow its Texas book by five percent this year, so it buys leads and calls there. A carrier licensed in all 50 states might still bid cautiously in a state like California, where it has had bad losses. The buyer’s lead gen team sets the filters and prices, and from there it is market making: watching lead quality and issuing refunds when needed.

Calls, Data Leads and Clicks

There are three types of lead, Greg says: calls; data leads from web forms; and clicks, which deliver traffic from ad walls straight into a buyer’s quote funnel. Calls are usually the most expensive.

They also take work to buy. The buyer needs a closer available in real time who knows the state and can pick up a call from someone whose earlier experience they can’t see. That’s why many small agencies, and some insurers, don’t buy calls.

Calls are worth it, in Greg’s words, because they are “amazingly high intent.” Online, someone may fill out a form by accident or tick “call me back” without thinking. Someone who calls has finally set aside time to deal with insurance, and wants a quote now.

Frenemies: Aggregators and Lead Quality

I asked how he compares to the quote aggregators and comparison sites of InsurTech’s first wave. A year into lead gen, Greg has learned that most of these players do business with each other. If one company monetizes Texas leads well through an exclusive buyer, a competitor may make more by selling its Texas leads to that company. Everyone competes for the consumer, and everyone has lanes where they are stronger. 1-800-INSURANCE has partnered with some of them to place traffic where it has no buyer of its own. In the end, he says, lead quality comes down to intent: finding people who are really in the market, not passive doom scrollers.

I recalled looking at web traffic data a few years ago and seeing a loop: about 80 percent of the traffic moving back and forth among three lead gen sites, which made me wonder how they all made money. Greg said every line of business is distinct, and that commercial lines lead gen is less built out than personal home and auto. It is still being figured out.

TCPA Trolls, Now With AI

A little over a year in, I asked about trust and compliance.

There are TCPA trolls, he says: litigants who act for the sole purpose of finding a lawsuit, or of shaking a company down for a settlement. Everyone his company has done business with has been sued or is being sued. 1-800-INSURANCE has avoided any catastrophes so far. It retained a compliance attorney, tightened its consent language, scrubs against Do Not Call lists, records TrustedForm certificates for site visitors, and automatically rejects anyone on the DNC list or known as a litigator.

Then AI arrived. Greg described scripts that visit thousands of websites, fill out forms, and use AI to flag the sites that aren’t compliant. The AI then writes a demand letter email to each site owner, “and do it all by the thousands.”

I said I was speechless. Most of the time we think about cybersecurity, and this can run a small business over. I asked how it differs from criminal behavior, when they are using the law. Greg is concerned. Courts may throw out cases where the sole purpose was a shakedown. But he says most insurance agency and carrier websites he has looked at are not even close to compliant.

Is there insurance for it? Greg pointed to E&O and D&O, possibly cyber: coverage that exists but is fragmented and specialized.

What Agencies Need to Do Now

Greg’s answer for agencies starts with tools he has seen at ITC and other conferences: one chat interface, like ChatGPT, connected to the agency management system and email. An agent prompts it to pull customer information, issue certificates and draft emails, and spends the time saved on relationships. He thinks it may cost some jobs, that agents who adopt it can manage bigger books, and that it could bring in digitally native people who stayed away because the work looked old and boring.

Voice AI, he says, is already the lowest-hanging fruit. Voice agents now sound convincing, latency has gotten very good, and he expects call center costs to turn into the cost of tokens.

His conclusion: when every agency and underwriter has access to the same technology, competition comes down to product, price and brand. Brand and customer satisfaction become the moat.

AI Assistants as a Channel, and Agentic Binding

I asked about AI assistants as a channel: ChatGPT, Gemini, Claude and, with a small share, Perplexity. When I tried ChatGPT, I found you had to install a specific plugin for an insurance option to appear. Greg agrees the plugin route isn’t ideal, because someone has to discover the plugin first. For now, he says, being seen in ChatGPT matters more than plugging into it. Further out, he can see the frontier labs integrating vertically with a major insurer and becoming an agency or broker, though regulation may keep them in their lane.

A Voice Agent That Sells the Policy

Greg described a flow running in production at very small scale at one of his agency partners. The voice AI qualifies the caller and takes the application. It calls the agency’s rating system through an API and delivers a quote. If the caller likes it, they get a text with a link, review the quote and pay on their phone with Apple Pay or a card. The policy is submitted and the documents are emailed.

The open question is regulation. Insurance is regulated state by state, and Greg says some states already require a human in the loop rather than allowing agentic binding.

Rapid Fire

  • Phone, text, app or website: which wins in five years? Greg: text. I added that outside the US, WhatsApp and WeChat already win today.
  • Best 1-800 number? Besides his own, “the OG,” 1-800-Flowers: “they really made the market.” I’m still stuck with the Kars4Kids jingle. Greg: “we need a jingle, that’s our next marketing step.”
  • Advice to his Willis Towers Watson self? Keep your head down, ask more questions, get into bigger meetings, and go bigger, faster.

What the Industry Should Talk About

Greg’s answer was the consumer. As technology becomes a commodity and everyone has access to the same tools, he sees some products built for technology’s sake, or for chasing a valuation. The consumer, he says, is “the judge, the jury, and the executioner” of whether a product gets used. For all the industry’s excitement about AI, people may not change as fast as expected. Meet them where they are, help them save money and time, and move them toward AI channels from there.

My take

The part I didn’t expect was the TCPA story. I said it on the recording: I was speechless. Most of the time we pay attention to cybersecurity, and here are trolls using the law itself, now with AI writing the demand letters by the thousands. As I told Greg, that can run a small business over, and he says most agency websites are not even close to compliant.

On lead gen, buyers keep telling me the same stories: stale, recycled, fake, a thousand promised and 852 delivered. Greg answered from the shopper’s side instead, which I appreciated. And I appreciate that he is building a technology platform on top of a brand and treating the brand as the main asset.

On AI discovery, when I tried ChatGPT I needed a plugin to get an insurance option, and Greg agreed the plugin route isn’t ideal: being seen matters more. It is a pattern I’ve been tracking in the weekly report. In August, EverQuote invested in the infrastructure that keeps it discoverable to AI agents, the same force that could otherwise disintermediate its core business. In June, I wrote that the companies that control how insurance is discovered at the top of the funnel determine who wins the underlying risk. In May, New York Life invested in Vapi, the company running its own phones. Greg described the same shift at the agency level, with a voice agent that quotes and takes payment.

Key Takeaways

  • A memorable vanity number does much of the trust-building before anyone speaks
  • At 1-800-INSURANCE, a voice bot qualifies each call and, Greg says, five to 25 buyers bid on it in a real-time auction that takes milliseconds
  • Buyers set filters and bids by state and risk, driven by state-level growth mandates and loss experience
  • Calls are usually the most expensive lead type because they carry the highest intent, and buying them requires a closer available in real time
  • Lead gen’s bad rap came from overselling the same lead; buyers now pay a premium for exclusive leads
  • AI is industrializing TCPA claims: scripts find non-compliant websites and write demand letters by the thousands
  • For agencies, a single AI chat layer over the AMS and email, plus voice AI on the phones, is the near-term change
  • Being visible in AI assistants matters more right now than plugins; agentic binding faces state-by-state rules on a human in the loop
  • As technology commoditizes, Greg expects brand and customer satisfaction to become the moat

Greg’s figures, including five to 25 bidders per call, the 45 percent online-shopping statistic he recalled, and the voice AI flow at an agency partner, are as he described them and were not independently verified. His description of pending federal one-to-one consent rules is his own. The lead gen stories I cite are what buyers tell me, not data.

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← EP 175: Stephen Todres | Investor, American Family Ventures