Claims AI Isn’t a Model Problem. It’s a Plumbing Problem.

Most claims “AI programs” die the same way: you buy models, bolt them onto core, and discover your data can’t support event-driven decisions. The result isn’t bad predictions—it’s diary-driven claims, slow closes, reserve noise, and a false sense of progress. Heather Wilson (CEO) and Mubeen Rabbani (CPO) at Clara Analytics have lived this at scale: thousands of claims triaged daily, with alerts tied to measurable financial lift and operational impact. Their thesis is blunt—AI value is an operating model problem, and the hidden constraint is ingestion, normalization, and mapping across messy, multi-source claims data. Join live if you want to review your current approach: what breaks first, what to measure, and what changes when claims becomes always-on instead of scheduled. #InsurTech #Claims