End-to-end workflows in InsurTech

My insurtech career began with something simple but powerful: Some text and a "Sign Up" button. Here's how I turned a landing page into an insurance product: 1. Checking Demand This page validated the market for what I wanted to offer. I drove traffic with ads and in-person events. The people who clicked “Sign Up” became leads. Now I needed something to sell. 2. Licenses I applied for a producers license and insurance license, to legally sell insurance. To get licensed as a broker (or producer), I took an online course, passed an exam and got fingerprinted before I could apply. Once I got licensed, getting the business entity license was easy. Just complete forms for name approval and licensing, pay a fee and wait for processing. With both licenses, I could turn leads into deals. 3. Appointments With an agency, I sought carriers that would let me sell their product. How I got my 1st appointments: - Independent agency wholesale networks for new agents - Applied online to sell for insurance companies - Cold emailed other territory managers and insurance companies I got appointments with almost a dozen companies and started quoting leads. Eventually we sold our first policies. This was the best way to learn about our customers. 4. Building the Product With lessons from our insurance agency, I asked: - Who is our ideal customer? What are their problems? - How will we price our insurance and differentiate our product? - Where is our customer? How can we reach them? With those answered, we developed our underwriting rules, forms/contracts and rating model. We then structured partnerships to realize our vision. 5. Partnerships As a bootstrapped startup, we structured ourselves as a Managing General Agent. We needed partnerships to get to market, including: - Fronting carrier for the “paper” or compliance support and regulatory structure - Reinsurer for capital to pay claims - 3rd-party admin to handle claims These partnerships moved us forward. Our legwork before finding these partners was essential for their support. 6. Building the Tech Tech is a key differentiator in our market. The core tech was our policy admin system, along with customer-facing tech for seamless onboarding. We evaluated all options, including building our own. With our policy admin system, we automated everything from issuing policies to managing renewals. Now we had to sell policies. 7. Distribution I've read that every insurance success story is a distribution success story. How do you find customers? We’d sold policies by phone. Now we had to do it without any customer interaction. Some insurance can be sold through independent agents. We went direct. We tried different channels before building an engine with best-in-class acquisition costs. The secret is, there’s no secret. Iterate until you find what works for your product and customers. These steps began my journey to selling millions in insurance.

Last week Wesley tried to renew his car insurance. He thought it’d take 10 minutes. It took 2 days, 3 back-and-forth calls, and an email thread with someone who had to “check with another team.” All they needed was his policy details to send a quote, and a payment link. The rep was polite, but the process was broken. Not the tech itself, but the glue work between systems, approvals, and processes. The hidden cost in insurance isn’t just fraud, it’s friction. That’s where CozmoX AI (YC W22) AI comes in. We’ve built Voice AI Employees that own it end to end for insurance companies. Here’s how it plays out technically for top insurers: 1. Caller Interaction (Telephony Layer) We integrate natively with SIP or cloud telephony (Twilio, Genesys, Avaya, etc.) to receive inbound or make outbound calls. Our AI Employee answers instantly with natural-sounding speech, no IVR menus. 2. Intent Recognition (NLP Layer) Using deep context windowing (vLLM + custom NLU), we detect whether the caller wants to file a claim, ask about a policy, or renew—no rigid keyword matching needed. 3. Contextual Memory (Session + External Memory Layer) Our AI Employee remembers. It pulls customer info live from CRMs (Salesforce, etc.), policy systems, or claims platforms (Guidewire, Duck Creek) via secure APIs. 4. Action Execution (RPA/API Layer) Once intent is confirmed, the AI triggers backend actions: Files FNOL Fetches policy docs Updates payment status Starts renewal workflows All done via REST/SOAP APIs or RPA if systems are legacy. 5. Real-Time CRM Sync (Logging Layer) Everything is logged: transcript, summary, outcome, next steps compliance ready and analytics-friendly. This isn’t a chatbot with a voice. It’s a full-stack operational AI built for regulated, high-stakes, high-volume industries like insurance. And the impact with an insurance aggregator we are working with - 80–90% automation of inbound/outbound calls - 50% drop in average handling time - 2x boost in customer satisfaction - Full traceability with structured logs + consent capture We’re not replacing people. We’re removing the repetitive glue work that stops them from working at the top of their license. If your team is still stitching together CRMs, call scripts, and manual workflows - we should definitely talk.

Get Smart – How AI is Driving Smart Auto Insurance Claims Management? AI is driving a major transformation in the auto insurance industry. With smart auto claims management, insurers and customers can now experience a fully automated, seamless workflow—from reporting an incident to final settlement. 𝗞𝗲𝘆 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • Faster claim processing • Improved operational efficiency • Greater transparency and customer engagement With the insurance industry undergoing a significant transformation driven by advanced technologies such as artificial intelligence (AI), the concept of smart auto claims management – a fully digital and automated workflow process – is transformational. Smart auto claims management harnesses AI to automate and optimize end-to-end claims management, from the First Notice of Loss (FNOL) to damage assessment, repairs, communication, and final settlement. The primary goal? To provide faster, more accurate, and less labor-intensive claims handling, thereby reducing the time it takes for customers to receive payouts, and enabling insurers to reduce costs and enhance customer service. A Fully Automated Digital Workflow: Smart claims management works by enabling a logical, step-by-step process, utilizing a fully automate digital workflow. Examples of key steps include: First Notice of Loss(FNOL). In a smart claims process, customers can instantly report an incident using a smartphone app that guides them through the process. AI-Powered Damage Assessment. Using AI and computer vision technologies, this reduces the need for human intervention, and allows faster decision-making, leading to better outcomes. Automated Communication and Customer Interaction. Automated communication tools keep customers informed at every step. Through AI-powered virtual assistants and automated notifications, customers receive real-time updates on their claim status. Repair Management and Supply Chain Optimization. This bridges any gaps in the process through a connected ‘ecosystem’ that links all stakeholders in a single digital platform. Final Settlement and Payment. The automation of settlement not only speeds up payment, but also reduces administrative overheads for insurers, as fewer manual processes are involved. Key Benefits for Insurers and Customers :   For Insurers: Operational Efficiency Faster Processing Times Fraud Prevention   For Customers: Convenience and Speed Transparency and Communication Personalized Experience