Fraud
211 whitepapers and resources
Fraud
Insurance fraud detection: The build versus buy dilemma
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.
Vlog: Three things insurers can learn from Amazon Go’s touchless customer experience
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.
Underwriting risk: Information is power
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.
Thwarting Covid-19 claims fraud
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.
Process automation momentum calls for real-time insurance fraud detection
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.
Case study: Enterprise automation saves an insurer millions
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%.
Finding the value: The role of Communisis Ai in streamlining the insurance claims process
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.
FRISS customer story: Malta Insurance Association
This case study sheds light on how the Malta Insurance Association collaborated with FRISS to provide its members with a platform to share knowledge, potential fraud incidents and claims history. The platform’s adoption also resulted in a major fraud network being uncovered.
FRISS customer story: UNIQA Insurance Group AG
UNIQA Group is one of the leading insurance groups in Austria and Central and Eastern Europe. This case study looks at how UNIQA Group leveraged the FRISS Solution for automated claims fraud detection to achieve total fraud savings of €18.4 million within the first two years of being live.
How adding authorised media to the claims process prevents fraud and saves costs
In this content, Wouter Joosse, product manager at FRISS focuses on how insurers can leverage authorised media such as photo and video materials in the claims handling process in order to prevent fraud, save costs and speed up the process.