Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.
Description
Shift Technology delivers a purpose-built AI solution for claims fraud detection and resolution, empowering insurers to protect revenue and increase efficiency. Unlike traditional systems, it leverages advanced AI models trained on insurance data to detect fraud patterns with speed and accuracy. Its integration with the Insurance Data Network enables carriers to see connections across organizations, making it possible to identify industry-scale schemes. Shift not only detects suspicious activity but also prioritizes cases based on business impact, giving SIU and claims teams the right focus. Insurers benefit from faster investigation cycles, reduced false positives, and optimized fraud management processes. Global leaders such as AXA and Assurant use Shift to prevent millions in losses and resolve cases that would normally take days within minutes. Customer success stories highlight reduced operational overhead, improved investigation accuracy, and higher fraud detection rates. With AI at its core, Shift Technology equips insurers with the tools to stay ahead of increasingly sophisticated fraudsters.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
$1,400 one-time payment
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
MedCXO
Country
United States
Website
medcxo.com/fraud/
Vendor Details
Company Name
Shift Technology
Founded
2014
Country
France
Website
www.shift-technology.com/products/claims-fraud
Product Features
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No
Product Features
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
Yes
For Banking
No
For Crypto
No
For Insurance Industry
Yes
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
Yes
Pattern Recognition
Yes
Transaction Approval
Yes