Ohio Mutual Insurance's Data-Driven Underwriting Innovations

Ohio Mutual Insurance Group, established in 1901, provides property and casualty insurance through a network of over 500 independent agencies across multiple states, including Ohio and Indiana. By integrating advanced technologies, Ohio Mutual enhances its underwriting capabilities with aerial imagery, improving property risk assessment and decision-making processes. Their strategic partnership with CAPE Property Intelligence has streamlined these efforts, transitioning to a more data-driven approach.

In collaboration with Moody’s, Ohio Mutual has refined its application of Actual Cash Value (ACV) roof settlements in homeowners insurance policies. By leveraging the CAPE Roof Condition Rating, underwriters now have access to standardized data on roof conditions, traditionally challenging to assess at scale. This innovation facilitates more precise identification of high-risk properties and prioritizes loss settlements, enhancing claims accuracy and efficiency.

Moody’s imagery analytics, covering 98% of homes in Ohio and Indiana, empowers Ohio Mutual underwriters to make informed, data-driven decisions without delays typical of conventional roof inspections. This model, equipped with confidence scores and reason codes, has heightened underwriting transparency and improved communication with policyholders on coverage issues. Regulatory compliance remains a core focus, with Moody’s aiding necessary filings in states like Ohio, Indiana, and Wisconsin to ensure consistent ACV application.

This initiative mirrors broader industry trends, with predictive analytics and imagery tools increasingly central to modern underwriting practices. Ohio Mutual’s adoption of these advanced data solutions underscores a shift toward proactive underwriting, enhancing decision-making accuracy across its network. The ongoing partnership with Moody’s highlights the convergence of technology, data, and analytics in addressing complex challenges in the insurance industry, promoting better risk management and operational performance.