Every engagement is scoped to an operating outcome. The deliverable may be a product, a pricing or underwriting change, a working system, or a decision the leadership team can act on—but it should not be a deck that goes on a shelf.
Turn a market opportunity into a product that can be filed, explained, implemented, and operated.
Connect risk appetite, pricing, segmentation, and operating practice to the performance of the book.
Use models where they improve the work, with evaluation, controls, and human judgment designed in from the start.
Client details are anonymized and some specifics are generalized.
Helped implement predictive modeling and AI-assisted tools to strengthen pricing segmentation, risk selection, and portfolio management, connecting analytical outputs to practical underwriting decisions.
Helped identify potential carrier partners, refine pricing, and find niche segments where the MGA's underwriting capabilities could support profitable book expansion.
Supporting state expansion, forms-process automation, and improved pricing segmentation by translating regulatory and product requirements into a repeatable launch process.
Don leads and performs the work directly. When a client has its own technical, actuarial, product, or implementation teams, InsureThing works alongside them rather than adding an intermediary layer.
The rationale, assumptions, controls, and operating logic are documented and taught at the level each constituency needs. The team should be able to use the work—and know when to question it.
Send a short description. We'll start with what the problem requires.