Preventing Fraud Before It Happens: AI-Powered Application Review in Insurance Sales


Spotting fraud in claims: Good.
Preventing it right from the application process: Better! 


In this webinar, Jeroen Morrenhof, CEO of FRISS and winner of the 2025 Digital Finance Award (Gold), provides insights into a preventive approach to combating fraud in insurance sales.

Using a practical example, the webinar demonstrates how artificial intelligence can be used to detect anomalies in insurance applications in real time and identify risks at an early stage. The systems analyze a wide variety of data points during the application process and recognize typical patterns. Unusual behavior when entering data or known anomalies in the background can indicate potential fraud.

​At the same time, the webinar demonstrates how these technologies not only minimize risks but also increase process efficiency: Unremarkable applications can be processed automatically and without delay, while only selected cases undergo in-depth review.

​Participants gain insight into how insurers can both improve their loss ratios and optimize the customer experience in the application process through the targeted use of AI.

​Target Audience
​Insurance agents, brokers, and advisors in insurance sales.
​Specialists and managers from sales, application review, and underwriting.
​Employees from risk assessment and fraud prevention.

Learning objectives
​After participating in the webinar, participants will be able to
– explain the importance of fraud prevention in insurance sales and application review
– understand the basic principles of AI-supported fraud detection in the application process and recognize typical anomalies in insurance applications
– explain the connection between early fraud detection, customer protection, and fair premium pricing in the insurance market
– assess the role that automated systems and human review play in modern underwriting and sales processes

Your Added Value
Basic Understanding: Understands how fraud prevention begins as early as the application process and the role AI plays in this.
​Practical relevance: Learn to recognize typical anomalies and patterns that may indicate potential fraud.
​Increased Efficiency: Recognizes how automated verification processes accelerate the application process while simultaneously reducing risks.
​Customer Protection: Understands how early fraud detection contributes to fairer premiums and better customer experiences.
​Context: Gain an overview of how automated systems and human verification work together.