At the start of the decision-making process, underwriters are generally provided with only two main data sources: the client-provided information in the application form and previous claims led against the applicant’s insurance policy. From there, they may use Google search, social media, and online news sites to locate any red flags that would impact the final evaluation.
Because the research methodology is manual and ad-hoc, there is a strong likelihood for unknown risks in the portfolio.
The insurance company applies the Insight Platform’s NLP datasets to automate the risk monitoring process.
With the ability to customize and quickly execute models, the Insights Platform captures news from a wide array of cloud-based documents, whether it is news on private or public companies, SEC filings, or earnings call transcripts.
The platform then scans the content for the insurance company’s specific view of risk. If there is a news story about the applicant in the context of that risk, the underwriter can factor that information into his or her decision.
The build-out process may involve several stages in order to reach an automation process that is an improvement on the existing process. After the Insights Platform team creates the initial model, the insurance company will assess the data results to determine which areas need fine tuning. The team then adjusts the model. There may be several iterations before finally arriving on a custom solution that automates risk detection according to the specific way the insurance company views risk.
The underwriter can now log onto the platform dashboard, select the relevant company, and see the number of mentions around the associated risk topic over a period of time.
Be a part of what’s next Request demo Secure communication is in the spotlight, or rather the lack of secure communication. Media headlines about security
The current digital environment provides organizations with a range of messaging solutions, each characterized by varying levels of security and compliance capabilities. This has become particularly prominent as people add messaging apps to their personal and professional workflows as a complement to e-mail.
Symphony’s Cloud9 has been awarded ‘Best Sell-Side Trading Communication System’ at WatersTechnology’s Sell-Side Technology Awards 2025.
In this interview we hear how Cloud9 differentiates itself with a modern, cloud-native approach to trader voice. It requires no on-premise infrastructure and functions primarily as a software application, aligning with broader cloud-based communication trends.
Cloud9’s flexible architecture empowers technology teams with robust deployment, while seamlessly supporting remote and mobile work. Michael Lynch also explains the plans for the mobile app and how it will extend voice beyond the desk to users on the go, offering 24/7 trading control.
Watch the interview to learn more.
