In this blog, Martino Scheepens, Customer Success Manager at FRISS, sheds light on monthly claims trends since March and why fraud will be increasingly seen as a way out for desperate people and businesses as a result of the pandemic.
One of the most effective uses of data and analytics in insurance is to prevent fraud both at the point of underwriting and from claims. In this podcast, Jeroen Morrenhof, CEO and co-founder of FRISS discusses how identifying potential fraud creates savings direct to the bottom line for insurers.
In this podcast, Dan Gumpright, VP of Products at FRISS, talks with Max Bazerman, a business psychology specialist at Harvard Business School about honesty in insurance. Bazerman explains how honest insurance is only achievable when there is full transparency between insurers and their customers.
Many insurers think about the same challenge when they want to automate their fraud analytics process: should we build it in-house or go for a cooperation with an external party? Watch this video to find out more about the key elements required to make a well-informed decision.
Automated risk assessment is vital for a touchless claims process to deliver a seamless customer experience. In this vlog, Dan Gumpright, FRISS Global VP of Products, explains the concept of touchless trust, and how good customers get treated seamless and fast, but the fraudsters are stopped.
Underwriters often shake their heads at the almost insurmountable challenge of structuring risk selection and fraud detection, but what sounds like an unsolvable problem, isn’t. This content highlights the tools available to help underwriters make informed decisions based on real-time insights.
History has proven that times of economic crisis see a huge increase in insurance fraud across most lines of business. This content provides some specific examples of insurance fraud which are on the rise and how insurers can make use of advanced analytics to stay one step ahead of fraudsters.
In our fast-moving world, insurance customers demand real-time decisions. With automation and digitisation firmly on the agenda for insurers, this content highlights why investments in real-time risk assessment and fraud detection are required to modernise underwriting and claims processes.
EXL helped a leading insurance company achieve an end-to-end claims transformation leveraging RPA, data analytics and a claims center of excellence. Download this case study to find out how the insurer saved $21M of potential fraud and reduced average claims processing times by 40%.
Analysing large volumes of unstructured, human-generated content can make the insurance claims process both time consuming and costly. Watch this video to discover how Communisis Ai is helping firms to reduce manual effort and quickly direct complex or potentially fraudulent claims to human agents.