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What is CPA Fraud Detection Service?

Benford's law is an effective method for revealing patterns that may indicate fraudulent disbursements. It requires the analysis of audit trail reports from accounting software such as QuickBooks to identify suspicious actions like voids and deletions. Moreover, it also includes the detection of multiple payments made for the same amount on a single day. A comprehensive examination of payroll runs is performed to find any discrepancies, particularly payments that exceed designated salary or hourly rates. Payments made on days when businesses are closed are given extra attention. By employing statistical analyses, outliers that could point to fraud are uncovered, and duplicate payments are verified for accuracy. Furthermore, vendor files in accounts payable are scrutinized for names that may appear strikingly similar, leading to investigations into potential fictitious vendors. Comparisons of vendor addresses and payroll information are assessed through Z-Scores and relative size factor tests. Although data monitoring and unexpected audits have proven to significantly mitigate fraud losses, merely 37% of organizations have implemented these vital controls. For smaller businesses with fewer than 100 employees, the average estimated loss attributed to fraud stands at $200,000, underscoring the fact that these enterprises typically lack sufficient resources to effectively identify and respond to fraudulent activities. Therefore, it becomes crucial for small businesses to embrace more robust fraud detection strategies to protect their financial health and ensure long-term sustainability. By doing so, they can not only detect irregularities but also foster a culture of transparency and accountability within their operations.

What is AssetArchive?

For many years, the Asset Based Lending (ABL) industry has voiced numerous concerns regarding its operational capabilities. Clients have been actively searching for an effective method to archive AssetReader data, enabling them to discern essential trends, evaluate Borrowing Bases, and track concentration balances over time, while also expressing a desire for a module tailored for more specific confirmations. In parallel, developers have shown a keen interest in incorporating artificial intelligence (AI) to boost data analysis, with a common goal among both programmers and executives to craft cutting-edge products that harness this technology. With over 33 years of experience in ABL, which includes audit, operations, fraud investigations, and renowned ABL training programs, the FinSoft team has created an AI solution that meets the persistent demands of the industry—offering timely alerts for exceptions, anomalies, and other irregular events, with the ultimate aim of enhancing decision-making processes. This groundbreaking approach is set to transform the way ABL professionals interact with their data, significantly improving their operational efficiency and fostering a more proactive approach to risk management. As the industry evolves, such innovative tools will become increasingly vital for staying competitive and responsive to market changes.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$1,400 one-time payment

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

MedCXO

Company Location

United States

Company Website

medcxo.com/fraud/

Company Facts

Organization Name

FinSoft

Company Website

www.finsoft.net

Categories and Features

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Custom Fraud Parameters
Investigator Notes

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