Rising claim volumes, sophisticated fraud schemes, and overloaded staff demand new methods to understand program risk and detect fraud before it happens.
Enable your team to protect your public benefits program from the risk associated with potentially fraudulent and improper payments with Thomson Reuters ID Risk Analytics. Combining your agency data with identity verification and deep human analytical review provides an unmatched ability to detect, prevent and investigate fraud within your program.
Within weeks, receive a report from our Special Investigations Unit (SIU) which categorizes potential fraud risk into high, medium, and low categories. This report includes more than 40 behavioral analytic algorithms with risk scoring and verified identity data.
Focus your efforts with knowing which claimant files possess the most risk with Red/Yellow/Green categorization. Green, low-risk beneficiaries represent no indication of fraudulent activity. Red, high-risk beneficiaries are prioritized to focus your team’s investigative efforts.
ID Risk Analytics shows which records fall within each risk category and the total benefits paid to high, medium, low risk claimants. The results are easy to understand and distill a narrative outlining the needs of your agency and potential risks to benefits programs.
Thomson Reuters’ SIU team will analyze your inputs and provide detailed analysis
Potential fraud risk will be categorized on severity levels to assist in paying claimants faster
Access analytics in weeks, not months or years to reduce risk to your benefits program
Thomson Reuters is not a consumer reporting agency and none of its services or the data contained therein constitute a ‘consumer report’ as such term is defined in the Federal Fair Credit Reporting Act (FCRA), 15 U.S.C. sec. 1681 et seq. The data provided to you may not be used as a factor in consumer debt collection decisioning, establishing a consumer’s eligibility for credit, insurance, employment, government benefits, or housing, or for any other purpose authorized under the FCRA. By accessing one of our services, you agree not to use the service or data for any purpose authorized under the FCRA or in relation to taking an adverse action relating to a consumer application.
Pondera supports the federal government’s efforts to identify individual cases of fraud or abuse as well as trends, patterns, and clusters that may indicate existing or emerging problems.
Our industry experts are happy to provide an in-person or web conference overview that is customized to your organization and your needs.