Arturo, the property intelligence company that delivers portfolio-wide underwriting, risk and claims insights, has launched a new AI-powered claims module.
This AI-powered solution is set to transform the insurance landscape by helping carriers streamline their claims processes, prioritise effectively, and enhance customer interactions.
Arturo’s claims module offers an extensive understanding of the material impact of claims events on a portfolio. It synthesises property intelligence into an intuitive user interface, empowering carriers to analyse claims data at a glance. This allows for more informed decision-making when it comes to claims response and providing support where it’s needed most.
The module’s customisable display options also allows users to examine claims data based on date range, claim type, and financial impact. Additionally, colour-coded map markers facilitate the quick identification of high-impact claims, meaning that carriers can prioritise their attention accordingly. The tool also seamlessly integrates real-time third-party data, allowing near-instant damage assessments from events like floods and wildfires.
When combined with Arturo’s proprietary modeled property insights regarding a property’s inherent risk, insurers can prioritise their efforts based on vulnerability and claim urgency. Moreover, the module assists in identifying emerging patterns, such as areas with a surge in claims following a disaster, enabling proactive communication with policyholders.
Marty Smuin, CEO at Arturo, commented on the firm’s latest offering. He said, “The claims process is notoriously tedious and time-consuming, often requiring hours of manual cross-referencing across multiple spreadsheets.
“These technological silos inhibit even the most seasoned claims professionals from understanding the risk and potential financial impact of active claims across their book. These inefficiencies underscore the need for integration, as they ultimately affect the policyholders who simply want transparency and a speedy resolution.”
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