DATAECONOMY's PPP Fraud AI leverages the Industry's best data, technology, and domain expertise to ensure the best results. It is fully automated and gets you the most accurate results instantaneously.
New York Times
Fast funding out the door and help U.S. businesses in an unprecedented economic shutdown caused by a global pandemic
Catching fraud on the back end after the funding distribution is always part of the government’s calculation
We are helping Fed Agencies, and regulators to identidy the systematic fraud and recover tax payer dollars from fraudlant loans
Left all the due diligence to the lenders and only performed spot checks and audits
Invited fintech's into the process in addition to traditional banks and credit unions
We are helping SBA to catogorize the systetamatic fraud, priortize, enabling them to work with FIs to resolve the fradualnt loans
Very few steps to verify loan applications, busier doing submission work and gathering documentation
Put the onus on the business owners to self-certify truthfulness
We are helping FIs to Discover, Analyze, Investigate, and Resolve fradulant loans, and Respond to SBA and regulators faster
DATAECONOMY's PPP Fraud Analyer consists of two core components to discover and analyze the fraud.
A report summarizes fraudulent loan alerts by PPP Fraud rules giving the FI an idea about the gravity of the fraud regarding all PPP loans issued.
Request for a Sample Summary ReportA detailed alerts report with all the probable fraudulent loans categorized by PPP rules for the FI to start to investigate, resolve, and report.
Request for a Sample Detailed ReportInvestigate PPP Fraud alerts 40-50% faster by having all the information in one place, document the evidence, meet internal audit requirements, respond to external regulators (SAR), and resolve the fraudulent loans.
Request for a DemoKnowledge Graph is created by fusing and enriching data from several sources to uncover hidden and complex relations. Data sources include the following, but are not limited to:
DATAECONOMY's PPP Fraud Analyer consists of two core components to discover and analyze the fraud.
Configurable rules engine that is pre-configured to process the SBA issued rules for qualified loan applicants, including:
Fraud Analyzer ensures accuracy by levering the following:
Senzing's industry-leading entity matching engine
DATAECONOMY's powerful algorithms & ML models
Summary Alerts Report
A report summarizes fraudulent loan alerts by PPP Fraud rules giving the FI an idea about the gravity of the fraud regarding all PPP loans issued.
Detailed Alerts Report
A detailed alerts report with all the probable fraudulent loans categorized by PPP rules for the FI to start to investigate, resolve, and report.
FCC Knowledge Graph provides a centralized interactive analytical platform for FCC stakeholders across AML, KYC, Fraud, and Market Surveillance functions, enabling FI to improve operational efficiency, FCC program effectiveness and adapt to rapidly changing regulatory requirements.
Graph Traversal
(Intuitively Travers node/relationship with filters, combine/expand nodes/relationships)
Graph Algorithms
(Identify Customer’s hidden relationships & New Potential patterns leveraging graph algorithms)
Capture Story as evidence
(Narrative functionality to capture graph & case narrative within the tool)
Enrich insights with External Data
(Marries internal Customer, entity data with external sources to gain holistic insight for Customer)
based on volume of loans iisued