CoverX AI

CoverX AI is an AI-powered platform built specifically for independent retail commercial property and casualty insurance agents. The platform replaces hours of manual work with three tools that work together inside any agency workflow. Quote Comparison side-by-side compares carrier quotes across coverages, limits, deductibles, and endorsements so agents can identify the best fit and the gaps that matter. Form Analyzer reads commercial policy forms and surfaces coverage issues by severity, flagging exclusions, sublimits, and conditions that could create E&O exposure or coverage gaps for the insured. Proposal Generator turns extracted policy data into branded, client-ready proposals in minutes instead of hours, with full agent control over tone & presentation. Built by an 11-year commercial insurance veteran for the people doing the work, CoverX AI gives independent agencies the speed and accuracy of a large brokerage tech stack without the overhead. Try it free, no credit card required.

CoverX AI is designed for independent insurance agencies to aid in the commercial sales cycle. It helps teams review policies, compare quotes, and generate polished proposals, ensuring licensed professionals remain in control of the process. The software focuses exclusively on moving commercial accounts through key moments in the sales cycle effectively and efficiently. Users interact with CoverX AI through three main tools: the Form Analyzer, which surfaces important policy details; the Quote Comparison tool, which organizes and displays quotes side by side; and the Proposal Generator, which converts verified information into structured proposals. Each output is reviewed by licensed professionals to maintain quality and accuracy. CoverX AI is specifically aimed at independent insurance agencies and disregards other market players like carriers or wholesalers. This singular focus allows the software to streamline the commercial sales process uniquely for these agencies, enhancing efficiency while ensuring direct access to leadership for user concerns.