Every hour your underwriters spend on admin is an hour they aren't underwriting. Every case that takes days instead of hours is a broker relationship at risk. Threshold is built for the workflow stop-loss actually runs on — from the email that arrives on Monday to the proposal that goes out the same day.
Stop-loss underwriting is one of the most knowledge-intensive workflows in insurance. Every quote requires cross-referencing carrier guidelines, credibility-weighting experience, modeling network fit, and applying treaty-specific rules — correctly, every time. That expertise takes years to develop.
And then most of it gets buried in admin. Census files re-keyed by hand. Cases tracked in spreadsheets. Institutional knowledge living in one senior UW's head, with no way to transfer it when they leave.
The Flood isn't dramatic. It's the slow accumulation of manual steps, disconnected tools, and invisible risk that most MGUs have just accepted as the cost of doing business. Threshold was built to change that.
Built around the stop-loss workflow from the ground up — not a generic platform retrofitted for insurance. Every capability your UWs need, without switching tools.
Most quoting tools give you a calculator. Threshold gives you a system that learns.
Every case structured, every rate that held, every pattern across similar groups and carriers — captured, structured, and queryable. Prior similar cases surface automatically. Carrier pricing signals compound across your book. The UW who quotes their thousandth group has every prior case in the room with them.
That intelligence can't be replicated by a competitor who starts today. It compounds from day one. It becomes the institutional knowledge that used to live only in senior UWs' heads — now available to every underwriter, every case, every time.
Any competitor can build a better UI tomorrow. Nobody can replicate what accumulates.
Threshold is designed around the stop-loss workflow as it actually runs — not a generic platform adapted for insurance.
Threshold is in active deployment with stop-loss MGUs. We work with a focused group to make sure each deployment runs right. Tell us about your operation and we'll show you how it works on a real case.