Convr Debuts Scout to Automate Small Business Risk Assessment

The platform functions by pulling specific firmographic and exposure metrics, such as operating hours, licensing history, and property data, into a single, cohesive record. By integrating these insights directly into the Convr Risk Context Engine, underwriters can bypass manual web searches and document hunting. Harish Neelamana, Convr’s founder and president, notes that the tool allows insurers to scale their small commercial portfolios while maintaining strict underwriting diligence.

For carriers and MGAs, the primary hurdle has been the lack of documentation typical of smaller operations. Scout transforms scattered web data into a structured format tailored for insurance professionals, allowing them to verify risk appetite instantly. Eli O’Donohue, head of data and AI underwriting solutions, emphasizes that the system moves beyond simple data retrieval by contextualizing information specifically for insurance applications. The technology is currently being deployed by brokers and carriers to streamline submission workflows and improve decision-ready accuracy.