A new survey from Convr suggests commercial property and casualty insurers are moving aggressively to adopt artificial intelligence in underwriting, even as many organizations struggle to develop a clear strategy for managing and scaling those investments. The survey, which gathered responses from 211 commercial insurance professionals, found that nearly 90% expect more underwriting tasks to be automated in the coming years, while more than half already have AI operating in at least one production underwriting workflow.
Despite the rapid pace of deployment, confidence in AI strategy remains limited. Only about one in five respondents said they are highly confident their organization has a clear and actionable underwriting AI strategy. More than 40% rated their confidence in the lower half of the scale, highlighting a disconnect between technology adoption and organizational readiness.
The survey identified several operational challenges driving AI investment. Manual data entry, legacy technology platforms, and fragmented submission data sources were cited as key obstacles slowing underwriting operations. These findings mirror challenges seen throughout the insurance sector, including claims organizations that continue to balance modernization efforts with older core systems.
For insurance professionals, the report underscores a growing industry focus on data quality, workflow automation, and AI governance. As carriers expand AI use cases, the ability to integrate structured and unstructured data while maintaining consistent decision-making processes is becoming a strategic priority. The survey also found strong demand for employee training, improved submission quality, and simplified access to information, indicating that technology alone is not viewed as a complete solution.
The findings may be particularly relevant for claims organizations as insurers increasingly seek enterprise-wide AI strategies that span underwriting, claims handling, fraud detection, and risk management. The survey suggests that insurers are entering a new phase of AI adoption where execution, employee readiness, and strategic alignment may become as important as the technology itself.
