Next Insurance and the AI-First SMB Insurance Playbook: How Conversational Quoting Beats Form-Based Quoting

TL;DR#

Next Insurance — rebranded as ERGO NEXT Insurance in early 2026 after its integration with Munich Re — built one of the most successful AI-first SMB insurance carriers in the U.S. by replacing the broker-and-paper-application model with a digital quoting flow that prices policies in minutes. Founded in 2016 by Guy Goldstein, Alon Huri, and Nissim Tapiro, the company now serves more than 750,000 small business customers across 1,300+ professions and has raised over $1.12 billion across nine funding rounds. The playbook works: vertical-specific products for contractors, fitness instructors, cleaners, beauticians, and dozens of other trades; instant Certificates of Insurance; AI-driven underwriting; and a self-serve digital experience. But there's a ceiling on what a form-driven flow can capture, even an excellent one. NEXT's own 2025 research found that 77% of U.S. small businesses are underinsured — up 2 points from 2023 — and 53% feel unprepared for the risks they face. The next leg of the AI-first SMB insurance playbook is conversational quoting: capturing the why behind a contractor's decision to skip umbrella coverage, not just the what of their business class code. This case study breaks down what NEXT got right, what the form-based flow still misses, and how conversational AI fills the gap.

What is the AI-first SMB insurance playbook?#

The AI-first SMB insurance playbook is a digital-first model for selling small business coverage in which AI handles classification, quoting, underwriting, binding, and certificate issuance directly with the business owner — without a broker meeting, without a paper application, and without a human underwriter touching the file for standard risks. NEXT Insurance is the most-cited example of the playbook in practice: an instant online quote, vertical-specific policies, and a Certificate of Insurance issued in minutes instead of days.

How NEXT Insurance built the digital-first SMB carrier#

NEXT Insurance was built on a single contrarian bet: small business owners would rather buy a $700 general liability policy from a phone screen at 11 p.m. than schedule three phone calls with an independent agent and fill out a 12-page paper application. That bet turned out to be correct. By 2026 the company had grown to over 750,000 SMB customers, raised more than $1.12 billion in venture and strategic funding (with participation from Munich Re, Allstate, and Allianz X), and earned an A+ (Superior) financial strength rating from AM Best. In January 2026, the company rebranded as ERGO NEXT Insurance to reflect its integration with ERGO, the primary insurance arm of Munich Re.

What made the model work wasn't just technology — it was vertical specialization. NEXT didn't offer a generic "small business policy" with a 50-question application that a fitness instructor and a roofing contractor both had to complete. Instead, it built tailored coverage for each of 1,300+ classes of business, with quoting flows tuned to the specific risks each trade actually faces. A personal trainer gets asked about session locations and equipment. A contractor gets asked about subcontractors and project value. The flow stays short because the questions are relevant.

This vertical-by-vertical approach is the same logic we've covered in the AI for insurance agencies playbook from lead capture to renewals: match the data capture to the actual risk profile of the trade, and applicants finish more quotes. Generic forms force the carrier to ask every question that might apply to any SMB. Vertical forms only ask the questions that matter for this SMB.

The five things NEXT got right#

Five product decisions made NEXT's digital quoting model work where many earlier insurtechs stalled out. Each is worth studying as a benchmark before discussing where the form-based ceiling kicks in.

1. Vertical-specific quoting flows. Instead of one universal application, NEXT built 1,300+ tuned flows. The contractor flow looks nothing like the yoga instructor flow, even though both end in a general liability policy.
2. Instant Certificates of Insurance. SMBs don't buy insurance because they want insurance — they buy it because a landlord, a venue, or a client demands a COI before signing a contract. NEXT issues unlimited COIs in real time from the customer dashboard, removing the single biggest friction point in the post-purchase experience.
3. AI-driven classification and pricing. Behind the scenes, NEXT uses machine learning to classify a business from a free-text description ("I do mobile dog grooming out of a van"), map it to the right NAICS class, and quote it without human intervention.
4. Self-serve everything. Endorsements, additional insureds, payment changes, and renewal — all handled by the customer in the dashboard, with an AI-driven help layer for questions that don't need a human.
5. Capital backing the underwriting. A risk model is only as good as the carrier capacity behind it. NEXT's relationships with Munich Re, Allstate, and Allianz X gave it the reinsurance and surplus to actually pay claims, which is what separated it from earlier insurtechs that ran out of capital before they ran out of ideas.

The combined effect: SMB owners can go from "I just realized I need a COI for tomorrow's job" to "I have a bound policy and a downloadable PDF" in under fifteen minutes. That's the bar the rest of the SMB insurance market is now competing against. We dig deeper into how this changes the broker workflow in the best AI tools for insurance brokers in 2026, and into the carrier-wide implications in the AI assistant for insurance buyer's guide.

Where the form-based flow hits a ceiling#

For all that, NEXT's own data tells the story of where the digital-first model starts to break down. In its 2025 SMB Insurance Coverage and Risk Report, NEXT found that 77% of U.S. small businesses are underinsured — a 2-point increase from 2023 — and only 47% feel "very" or "completely" prepared for the risks they face. Coverage gaps are concentrated: roughly 22% lack adequate general liability, 25% lack required professional liability, and 35% are missing cyber coverage entirely.

These aren't pricing failures. NEXT (and competitors) have priced these coverages aggressively and made them buyable in minutes. The failure mode is upstream: SMB owners don't know what they need, don't realize the gap until a claim arrives, and don't surface the messy context that would let an underwriter catch the gap. A form, no matter how vertical-specific, can only ask what its designer thought to ask.

The Insurance Information Institute and Risk & Insurance both report that the SMB underinsurance problem has gotten worse in the digital-quote era, not better, despite premium dollars going up. That's a strong signal: the bottleneck is no longer "is buying insurance fast enough?" — it's "does the carrier understand the customer well enough to recommend the right coverage?"

This is the same pattern we've documented across other intake-heavy industries. In the AI legal intake breakdown for law firms, in the AI patient intake playbook for healthcare practices, and in the conversational intake AI guide, the lesson is the same: forms compress the customer's reality into a fixed schema, and the most decision-relevant context falls outside that schema.

What conversational quoting captures that NEXT's flow misses#

Conversational quoting captures the why behind a coverage decision — the open-ended context that determines whether a quote is right-sized for the customer's actual risk, not just for the customer's NAICS class. A form can ask "do you use subcontractors?" and offer a yes/no dropdown. A conversation can ask "tell me about how you staff jobs" and discover that the customer treats independent 1099s as employees in practice, which has implications for both general liability and workers' comp.

A few of the dimensions form-based quoting systematically misses:

• Why the customer is shopping right now. A new contract requirement, a near-miss claim at a previous carrier, a partner pushing them to add coverage — each implies a different risk profile and a different ideal recommendation.
• What they're worried about that the form doesn't ask. "I'm scared about the cyber thing but I don't really know what cyber insurance covers" is the most valuable sentence the underwriter could hear, and no form will produce it.
• How they actually run the business vs. how they describe it. "I do mobile dog grooming" can mean a 1-van solo operator or a 12-truck franchise. The form treats both the same; a conversation surfaces the difference in the second turn.
• Their decision constraints. Cash flow, the lender's COI requirement, a state regulator's mandate, an industry-association deal — all change which policy actually fits.
• The "it depends" and "I'm not sure" answers. These are the highest-value moments and the moments where forms force the customer to guess. We've written about why this matters in general in our AI-first cannot start with a web form thesis post.

The carriers that win the next wave of SMB insurance will combine NEXT's instant-quote infrastructure with a conversational layer that captures this context — both at quote time (to right-size the coverage) and post-bind (to catch coverage gaps as the business evolves).

How conversational AI bolts onto a digital quoting flow#

Conversational quoting doesn't replace the digital flow — it sits on top of it. The architecture looks like this: an AI interviewer guides the SMB owner through an open-ended description of the business, follows up on vague answers, captures the why behind their coverage interest, and then hands a structured profile to the existing rating engine. The customer never feels like they're filling out a form. The carrier ends up with a far richer applicant record than a form-only flow could produce.

Three concrete use cases are showing up across SMB carriers in 2026:

1. Pre-quote discovery. Before any rating happens, a 3–5 minute AI conversation captures the business in the owner's own words, then drives prefill into the structured quote. Completion rates rise; quote accuracy rises; underwriter rework falls.
2. Coverage-gap interviews at renewal. Instead of an automated renewal email, the carrier runs a brief AI interview asking what's changed in the business in the past 12 months. This is where the underinsurance gap actually closes — most coverage gaps appear when the business grows and the policy doesn't.
3. Win/loss interviews after a quote. When a customer abandons a quote, an AI interviewer can ask why, with the same depth a human underwriter would — and the carrier learns whether the issue is price, fit, friction, or trust. This is the same playbook we cover in how AI uncovers why deals really close or don't.

This is what Perspective AI was built for. Our AI interviewer agents run open-ended customer conversations at scale, follow up on vague answers, and produce structured output that bolts directly into existing carrier systems. SMB carriers running intelligent intake with conversational AI in front of their rating engines are seeing measurable increases in quote completion and policy attach rates.

The 2026 carrier scorecard: digital quoting vs. conversational quoting#

The point isn't that NEXT got the digital flow wrong — they didn't. They got the digital flow right, and that's exactly why the next layer of advantage has to come from somewhere else. Once everyone has fast quoting, the differentiation moves to quote quality, and quote quality lives in the open-ended context that forms can't capture.

Why this matters for the rest of the SMB insurance market#

The NEXT case is instructive because it's the closest thing the U.S. SMB insurance market has to a control group: a carrier that took the digital-first thesis as far as it could go on a form-driven model. The result is real (750,000+ customers, A+ rating, $1.12B raised, Munich Re integration) — and the residual underinsurance gap is also real (77% underinsured, only 47% feeling prepared). Both numbers come from the same carrier's own ecosystem.

For other SMB carriers, brokers, and MGAs reading this case study, the takeaway is straightforward: the bar for "digital quoting" is now table stakes. The bar for "did we actually understand the customer enough to recommend the right policy?" is wide open. We covered the carrier-wide implications in the AI customer communications report for the insurance industry, and the deflection-vs-engagement framing in why conversational AI insurance deflection is the wrong goal. For the upstream policy-inquiry side of the customer journey, see how carriers are replacing IVR and FAQ pages with AI and the AI tools for insurance customer experience roundup.

The same lesson applies for any SMB-facing intake flow, not just insurance — see the case for replacing static intake forms and the broader Lemonade conversational AI case study for the consumer-side parallel.

Frequently Asked Questions#

What is Next Insurance and what does it do for small businesses?#

Next Insurance — now ERGO NEXT Insurance after its 2026 rebrand — is a digital-first commercial insurance carrier serving over 750,000 U.S. small businesses across 1,300+ professions, including contractors, fitness instructors, cleaning services, beauticians, and consultants. It sells general liability, professional liability, workers' compensation, commercial auto, and other lines through an online quoting flow that issues bound policies and Certificates of Insurance in minutes, not days. The company was founded in 2016 by Guy Goldstein, Alon Huri, and Nissim Tapiro and has raised more than $1.12 billion in funding.

Does Next Insurance use AI for quoting and underwriting?#

Yes. Next Insurance uses AI and machine learning across the quoting flow to classify businesses from free-text descriptions, map them to NAICS codes, price standard risks without a human underwriter, and issue Certificates of Insurance instantly. The carrier has publicly framed AI as core to its product since launch, and its 2026 trends report identified agentic AI, AI governance, and AI-driven changes to the agent role as defining forces in SMB insurance for the year.

Why are 77% of U.S. small businesses still underinsured if digital quoting is so fast?#

77% of U.S. small businesses are underinsured because speed and accuracy are different problems. Fast digital quoting solves friction — the customer can get a quote at midnight on a phone — but it doesn't solve the comprehension problem. Form-based quoting can only ask the questions a designer pre-loaded into the form, and most coverage gaps live in the unstated parts of a business: how subcontractors are actually paid, how revenue has shifted, what the owner is genuinely worried about. Conversational AI captures that open-ended context.

What does conversational AI add on top of a digital quoting flow like NEXT's?#

Conversational AI adds open-ended discovery on top of the structured rating engine. Before the form-based quote runs, a short AI interview captures the business in the owner's own words and probes vague answers ("tell me about how you staff jobs") to surface risks the form wouldn't have asked about. The conversational layer also runs at renewal to catch coverage gaps as the business evolves, and at quote-abandonment to capture the why behind lost business. The structured quoting flow stays — it just becomes the second step instead of the first.

How does NEXT Insurance compare to Lemonade and other insurtechs?#

NEXT Insurance is the SMB-commercial counterpart to consumer insurtechs like Lemonade, which focuses on personal lines (renters, homeowners, pet, auto). Both companies share a digital-first thesis: replace agent-driven intake with online flows, use AI for classification and pricing, and make Certificates of Insurance or claims a self-serve experience. The differences are vertical depth — NEXT specializes in 1,300+ SMB classes — and the regulatory and underwriting complexity that comes with commercial lines. We covered the consumer parallel in detail in our case study of Lemonade's conversational AI strategy.

Is NEXT Insurance going to replace independent agents?#

No. NEXT operates a hybrid model: a direct-to-SMB digital channel and an agent partnership channel. The company specifically built a Digital Quoting Assistant that gives agents a unique link to send to leads while preserving full commission, and in 2026 launched an Agency Recognition Program to deepen long-term agent partnerships. NEXT's 2026 outlook explicitly states AI won't eliminate insurance agents but will change how they spend their time — automating administrative work and freeing agents for relationship-driven advisory tasks.

Conclusion: the next chapter of the AI-first SMB insurance playbook#

NEXT Insurance proved the digital-first SMB insurance thesis: 750,000+ customers, $1.12B raised, A+ rated by AM Best, integrated into Munich Re. That's not in dispute. What's also not in dispute is the 77% underinsurance gap that NEXT's own research surfaced in 2025 — a gap that fast quoting alone hasn't closed. The next leg of the AI-first SMB insurance playbook is conversational quoting: a layer that captures the why behind every coverage decision, not just the what of the customer's class code. That's where carriers, MGAs, and broker tech stacks that build on top of NEXT's digital-first foundation will compete in 2026 and beyond.

If you're building or buying for an SMB insurance product team and you want to add a conversational layer in front of your rating engine — for pre-quote discovery, renewal coverage-gap interviews, or quote-abandonment win/loss — Perspective AI was built for exactly this. Start a research project to capture the open-ended context your form-based quoting flow misses, or book a walkthrough to see how an AI interviewer fits between your customer and your existing quoting infrastructure.

External references: NEXT Insurance 2025 Business Insurance Coverage and Risk Report; McKinsey on the future of AI in insurance; Risk & Insurance: Small Business Underinsurance Hits New High; NEXT Insurance approaches 750,000 small business customers, A+ AM Best rating.