Compare CHECKPRINT vs. CPA Fraud Detection Service

Ideal for entrepreneurs, accountants, and personal use, this service accommodates various check formats—top, middle, or bottom—accepted by over 8000 banks and financial institutions. It provides both blank and voided check templates, enabling you to print checks online in mere seconds while incorporating built-in security measures to combat fraud. You can print on any template or plain white paper to suit your business requirements, utilizing a user-friendly drag-and-drop editor for effortless check creation. Enjoy automated detection of counterfeit checks and reliable encoding options that comply with national banking regulations, including proper placement of account numbers at the check's bottom. Eliminate the hassle of in-person deliveries; simply email checks directly to your clients. With the ability to effortlessly generate an unlimited number of checks at no additional cost, just input the essential details, select your bank account, and hit the generate button. We also provide a range of sophisticated tools designed to enhance the ease of managing your financial transactions, ensuring a seamless experience every time.

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.