By commissioning our services, you can obtain top-notch general insurance fraud software or, more specifically, insurance claims fraud detection software that will meet your expectations regarding its functioning and foolproof usage.
As a finance-related industry, the insurance realm has always attracted unscrupulous people or blatant fraudsters who want to capitalize on the inadequacy of fraud-prevention mechanisms employed by organizations in this domain. Insurance anti-fraud software is an intelligent digital tool called to forestall such attempts long before they occur and/or detect them if anyone tries to scam insurers.
Our approach to building a robust insurance fraud detection software
DICEUS guarantees the delivery of the best-in-class insurance fraud software because our team focuses on the following four staples, which are pivotal for an efficient insurance fraud detection system.
Integration of cutting-edge technology
Since wrong-doers constantly seek new tricks to fool insurance agencies, we leverage the most recent know-how (AI, ML, cloud computing, blockchain, etc.) to counter their malevolent practices.
Data analytics
The bedrock of any fraud detection pipeline is the in-depth analysis of structured and unstructured information relevant to the claim the insurers assess and validate.
Real-time monitoring and fraud detection capabilities
We make it a point that our customers can keep track of and block fraud attempts in real-time to nip them in the bud.
Customization of specific options
Depending on the type of policy and customers’ requests, we fine-tune insurance fraud prevention software to identify non-disclosure and misinterpretation, premium fraud, exaggerated claims, wrongful health insurance billing, false injury claims, and more.
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Key features of fraud detection software
Our qualified and certified developers can build any functionality for the bespoke fraud detection solution that dovetails with the company’s area of insurance business. They can come as a bonus to the bread-and-butter features garden-variety insurance fraud investigation software contains.
- Predictive modeling for risk assessment. These tools are based on statistical analysis and machine learning techniques to pinpoint patterns symptomatic of different risks and generate a threat score for each case involved.
- Anomaly detection algorithms. They look for unexpected or unusual data patterns that may point to fraud. Here belong claims with abnormally high payouts, those filed very soon after an accident, etc.
- Pattern recognition and behavioral analysis. Rather than looking for irregularities, this feature can detect trends across the data fed into the system and read into human behavior, which helps predict fraud threats.
- Integration with external data sources for comprehensive analysis. To let insurers obtain a 360-degree view of each claim suspected of fraud, the solution must be able to draw upon third-party data sources and analyze information retrieved from them.
Benefits of custom fraud detection solutions for insurance
Insurance agencies and companies that make custom fraud detection insurtech products a vital part of their IT ecosystem report the following improvements to their shop floor routine.
Our insurance fraud detection software development services
DICEUS covers all the needs a company may have related to custom insurance fraud detection software development.
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About DICEUS
Testimonials
Elena Markova
Board Member, UNIQA Ukraine
We were impressed by the depth of the UX analysis they did in terms of our customer’s research, buyer persona creation, user journey mapping, etc. All the information like research findings, for instance, was presented in a clear form (presentations, Miro boards, clear infographics) so it was quite easy to understand what we need to build and why.
Antoaneta Karagyozova
CPSO, Fadata
We are happy with DICEUS’ software implementation services. The team’s workflow is highly effective and professional in all aspects of the engagement. All clearly understand what goals we’d like to reach and do their best to do that as efficiently as possible. Overall, the partnership has been successful.
Phil Reynolds
CEO, BriteCore
The DICEUS team has consistently supported the BriteCore team for many years. Their engineers are well-educated and highly invested in the ongoing quality of the BriteCore platform with sustained relationships that extend over four years. We appreciate everything the DICEUS team brings to the table as a development partner.
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FAQ
What is insurance fraud detection software?
It is a complex of disruptive solutions insurance companies utilize to prevent, identify, investigate, and verify fraud attempts related to claim filing and disbursement payments. To be efficient in its functioning, insurance fraud detection software must rely on cutting-edge technologies and tools.
How does anti-fraud technology for insurers contribute to fraud prevention?
Instead of trying to redress the consequences of successful fraud attempts, insurers should be proactive in identifying and forestalling fraud threats. Anti-fraud technology is a second-to-none instrument for pinpointing suspicious and anomalous activities that bear a high degree of fraud risk and prevent them from inflicting damage on the organization.
What is a claims fraud detection system, and how does it enhance security measures?
A claims fraud detection system is a sum of measures and instruments employed by insurance agencies for combating fraud. It includes the development of a well-defined fraud detection and prevention policy, auditing, monitoring, and revisiting all anti-fraud practices on a regular basis, embracing relevant AI-powered software, educating personnel responsible for claim handling, etc. When meticulously implemented, the system becomes a crucial element of the comprehensive security strategy every insurance company should have in place.
What are the benefits of custom insurance fraud detection software?
If developed and implemented by a competent IT vendor, a custom insurance anti-fraud system will accelerate fraud detection, improve its accuracy, minimize associated losses, step up the company’s productivity and efficiency, augment risk assessment, and more.
