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"An underwriter who was handling $10 million before without AI can now handle $15 million. That's huge." — Nick Colis, Co-Founder & Chief Program Officer, Euclid Program Managers
That number came up early in a recent conversation we had with Nick and Ed LaFramboise, Managing Principal at Euclid Security (one of the MGAs that runs on the Euclid platform). We sat down with them to talk through how Euclid built its model, why they chose FurtherAI as a partner, and what the bet behind that 50% lift in underwriter capacity looks like in practice.
Euclid Program Managers is a platform for launching specialty MGAs, built around a specific bet: take great underwriters out of the big insurance carriers, bring them onto the platform, and let them operate as owner-operators of their own underwriting business. Each MGA on the platform sits in a distinct vertical, run by an operator with deep expertise in that space. Euclid Security, led by Managing Principal Ed LaFramboise, focuses on the security industry, writing general liability and excess liability for security guards, private investigators, alarm contractors, fire suppression contractors, and similar risks.
The model has produced one of the most respected MGA platforms in the industry, with a culture of deep accountability to the book each operator runs. The question that came next for Euclid was how to take those underwriters even further at the craft itself: sharper on every risk, more thorough on every submission, and with more time for the calls that actually move the book.
When Euclid went looking for the right partner to help take that next step, they knew what they were looking for. The partner needed depth in insurance (ideally built for the space from the ground up) with an understanding of the complexity of real underwriting workflows and a dedication to the craft of underwriting that could match Euclid's own.
Those requirements come from how the work itself functions. Insurance is the oil for commerce: it facilitates risk transfer, and a functioning society depends on someone doing it well. The people building tools for the space have to care about it the way the underwriters do, or the tools end up missing what makes the work hard.
FurtherAI met that bar. The alignment on both sides was straightforward: dedicated to the space, the craft of underwriting, and making underwriters better at what they already do.
Euclid's bet on FurtherAI rests on two theses. The first is about capacity: with FurtherAI in the workflow, the platform can do more business more efficiently, with fewer underwriters carrying more premium. The second is about selection: FurtherAI sharpens risk decisions at the individual submission level, refining which risks get bound and on what terms.
Both theses are starting to show up in the numbers. The headline data point is the one that opens this story — an underwriter at Euclid moving from $10M in premium under management to $15M, in the same book, without diluting the depth of underwriting craft Euclid was built around. That's a 50% lift in capacity per underwriter, and it's the kind of structural change that resets what an MGA platform can carry.
The way Euclid frames the relationship matters as much as the result. FurtherAI is built into Euclid's workflows as a way to amplify what underwriters already do, with the work itself remaining the underwriter's. The build process runs as a two-sided collaboration (with both teams learning from each other as the product gets shaped to the work) and that posture is what makes the $15M number possible without compromising on underwriting quality. The product gets built into the craft of underwriting, alongside the underwriter, rather than pushed onto the operation from outside it.
That lift on a single underwriter is the first data point on what happens when great underwriters get sharper. By Euclid's reckoning, FurtherAI is "the biggest technology advancement for the space since the computer."
If you want to see what that shift looks like inside your own book, get in touch.
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