Qumis showcases AI-powered coverage intelligence for insurance agencies
The Rundown
In this Catalyit Live Demo Lounge webinar, Qumis CEO and co-founder Dan Schulman demonstrated how the company’s AI platform helps insurance professionals analyze policies, identify coverage gaps, compare quotes, support claims advocacy, and create client-ready reports. The platform is designed to go beyond simple automation by acting as a coverage intelligence tool that helps agencies improve decision-making, scale expertise, and deliver higher-quality service.
The Context
- Qumis was built specifically for insurance coverage analysis, combining AI with policy expertise to help users uncover risks, inconsistencies, and opportunities hidden within complex insurance documents.
- The platform can compare multiple policies and quotes, generate coverage tables, analyze contracts, create renewal diagnostics, and produce branded client-facing reports with source citations.
- Every recommendation includes an audit trail and document citations, allowing users to verify findings and maintain human oversight.
- Schulman shared examples of the system identifying policy issues that could have significant coverage implications, including a potential error in a D&O policy wording.
- Upcoming roadmap items include Microsoft Outlook, Google Workspace, and agency management system integrations, along with a “Private Firm Memory” feature that captures organizational knowledge and best practices.
Why it Matters
As insurance agencies face growing workloads, talent shortages, and increasing policy complexity, AI tools like Qumis are shifting from productivity assistants to strategic advisory platforms. By helping agencies identify coverage blind spots, preserve institutional knowledge, and deliver more consistent expertise across teams, coverage-focused AI could become a competitive differentiator for firms looking to improve client outcomes without adding significant headcount.
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