Clearcover

If your AI roadmap is built around moving the combined ratio, Kyle Nakatsuji has a question worth sitting with and he's bringing the answer to the Orange Stage at Insurtech Insights on June 3. #InsurTech #Insurance #AI

The uninsured driver problem isn't just an economic one, it's a design one. Our SVP Seth Henderson breaks down how non-standard fee structures can trap the very drivers they're meant to serve, and what a different approach looks like in the newest Insurance Thought Leadership article. We built our Florida product around that thinking. If you're an agent who wants to be part of the solution, our "26 for '26" program was built for you too. https://lnkd.in/ekwqwX6G

Clearcover just entered Florida — and we're giving Florida agents a new way to drive more business. 🌴 The launch features upfront pricing, flexible payment options that sync with how people actually get paid, same-day coverage, and zero fees (no late fees, no cancellation fees, no reinstatement charges). It's auto insurance built for the drivers who need it most. Running alongside the launch: "26 for '26" — an agent incentive program designed to reward Florida producers who write eligible policies. Learn more at clearcover.com/agents Full coverage of the launch: https://lnkd.in/dzzFuH57

Last week I shared how we built an AI chief of staff. The most common follow-up: "How do I build one for my team?" So, we're putting the playbook in Context Window, our weekly newsletter. Specifically, the tool we built so any insurance leader can start with their own AI chief of staff. See link to sign up here: https://lnkd.in/dZ66a4QA Why? The specific questions we heard on Jarvis were the general questions we hear echoed across every conversation with carrier leadership. Not "what AI should we buy." It's "where do we even start." Distribution, underwriting, claims, servicing - the opportunities are obvious. The execution path isn't. We spent ten years building a tech-forward carrier from scratch. AI-native servicing. An ML risk scoring platform. A claims co-pilot that ingests and parses disparate data sources to drive real decisions. A mobile app with 92% adoption. We made every mistake and figured out what actually works. Dearborn Labs exists to bring that to other carriers. We don't advise from the side. We build alongside you. Starting with an AI agent of your own.

The context layer is the most overlooked piece of AI in insurance right now. Check out Kyle Nakatsuji's new podcast episode with The Future of Insurance.

Each executive at Dearborn Labs recently got a new Chief of Staff. They are a series of AI agents trained on insurance domain expertise, the shared context across the company, and how each individual likes to operate and communicate. Mine is Jarvis. I spent the past year building and teaching it how to run my operating rhythm. Jarvis knows my voice, my priorities, how I make decisions. It knows how we think about running an insurance business. It knows the context and history of our business specifically. Each decision and piece of feedback makes it sharper. The outcome? I now automate everything that doesn't require a human. The rest of my time goes to the work that does. When the team saw how I used Jarvis, they built their own. Within a few weeks, our leadership meetings had more agents than humans in the room. Jen Crutchfield built Atticus for regulatory and legal research. Adam built Flynn for product and technical work. Seth built Roz for insurance product strategy. Jen Kemp built Maven for financial work. Each one is an expert in its domain and built on our company's institutional knowledge. Each one carries yesterday's context into tomorrow's decisions. The takeaway for me was straightforward. The AI model matters, but the differentiator is what you wrap around it. Your decision frameworks. Your domain expertise. How your specific organization actually operates. Decision infrastructure; that layer is what turns a general-purpose model into something that compounds. It's what we're building at Dearborn Labs. I wrote up more about how Jarvis works. Link in comments.

Hope to see you at the 1871 Insurtech Innovation Summit this Thursday in Chicago! Lot more to come from us 👀 Dearborn Labs https://lnkd.in/edfMr729 #insurance #insurtech

A decade of building, and the journey is just getting started. Hear our founder Kyle Nakatsuji talk Clearcover, Dearborn Labs, and the future of insurance technology with Insurance Nerds. #Insurtech #Insurance