SAFESTONLINE.COM is the result of over twenty-five years of experience in investigating insurance fraud by Bill Lundy, CFI, CIFI, FCLS. In 2001 Bill Lundy teamed up with Robert A. Threlfall, a computer scientist and mathematician, to develop a web based system to detect insurance fraud complete with statistical analysis to optimize the cost benefits of fraud prevention. SAFESTONLINE.COM is solely owned and operated by SAFEST LLC.

Comparison of SAFESTONLINE.COM with Existing Fraud Detection Systems

New systems are coming on line regularly that promise to identify fraud and help eliminate it. They use techniques such as neural nets and pattern association. They search for patterns of people based on identifiers like name, address, social security number, license number, VIN, telephone number, associates and even credit data. They try to string together names and identifiers so as to create patterns of persons who are preying on the insurance companies.

In theory they're great ideas. However, those of us who have been in the business for a long time have seen that the vast majority of fraudulent claimants are not organized criminal enterprises. They may be the most expensive on a per claim basis, but the most frequent fraud player, and hence the most costly in the long run, is the opportunist. Pattern based expert systems won't find these players, because the opportunists only hit once or twice, or they hit different companies, each infrequently, but with no known associates. Systems that identify perpetrators and try to compare them to patterns of other players are designed to catch the organized groups.

Many of the experienced organized groups know how sophisticated data mining systems work. These groups try to defeat us by rapidly changing names and identifiers. They know our computer systems and our pattern detection systems. Even a system with fuzzy logic or neural networks has a hard time catching them as the identifiers change.

SAFESTONLINE.COM is designed not only to identify organized ring behaviors, it is designed to catch the more frequent opportunist. The pattern of fraudulent claiming behavior does not change all that much. That is the key. When the organized groups make small changes in the data fields, they still adhere to the claiming behaviors that have marked suspicious claims for decades. Recognition of the flags of fraud is the key to catching the fraudulent claimant and that is what SAFESTONLINE.COM does. It evaluates the flags that become apparent in a file even if the claims representative does not see the flag as a fraud indicator. In addition, SAFESTONLINE.COM evaluates the importance of each flag in a totally non-discriminatory way. It does not recognize location, race, religion, sex or ethnicity - it is consistent.

In the best of all worlds, a company would employ both pattern recognition/data mining programs and SAFESTONLINE.COM. However, in difficult economic times, SAFESTONLINE.COM is the best bet. It has time proven indicators. It works independently. It needs no expensive software loaded onto a company mainframe. It assists in the training of adjusters and investigators while it helps identify those claims that cry out for investigation. It works as a case management tool. It will help a company document for the regulators the steps they have taken to suppress fraud. It will help the company to know what their own staff has done to comply with the company's fraud plan. SAFESTONLINE.COM will help a company to plan for the future.

Easy to Use Web Interface

No complex and costly software installation is required for SAFESTONLINE.COM. SAFESTONLINE.COM is web based and is extraordinarily fast. It can be used any time and at any Internet accessible location. It's interface is mouse based and requires only a few clicks and minimal keyboard use.

Designed to Train the Claim Representative

SAFESTONLINE.COM was patterned after an earlier system developed by Bill Lundy, that like SAFESTONLINE.COM used indicators of fraud. This earlier system was designed to help train claim representatives. It was very well received. Claims representatives, as overworked as they were, actually asked to have it on their system because it was so successful in ferreting out bogus claims.

Further, it helped train them to look for the flags themselves. The turnover rate of claim representatives is so great that they need constant retraining to recognize the flags. Most companies suffer about a 20% to 30% turnover each year in claim representatives. A company never catches up. SAFESTONLINE.COM supports training and it provides the real-time identification of fraud indicators for the constant training of the claim representative.

In addition, claim representatives liked the system because the factors in the knowledge-base are familiar, even if they didn't initially recognize them as indicators. This familiarity breeds a comfort factor that encourages use of the system. It doesn't feel like a burden when used, hence claim representatives are easily and successfully able to use the system.