Everywhere you turn, fraud is making news headlines: Worldcom, Enron, just to name a few.

Our philosophy regarding employees and vendors in general is "trust, but verify". Use your data to identify any potential red flags that indicate fraud is occurring in your A/P department. If leads generated by our software seem legitimate and worth investigating, we have a team of highly trained Certified Fraud Examiners who can investigate. Here is a list of what we will look for using our proprietary software:

• Check fraud / stolen checks
• Perform vendor/employee cross-checks to find unusual relationships
• Detection of unusual and above-average payments per vendor
• Application of Benford's Law to detect fraudulent amounts
• Detection of significant changes in invoice volume per vendor
• Detection of vendors with a significantly greater percentage of cancelled checks than peers
• Check legitimacy of Vendors and Employees using AccurInt software Identify invoices falling just below approval amounts
• Find fictitious vendors / ghost vendors (P.O. Boxes, Mail Drops as addresses)

Positive Pay / Bank Reconciliation
Our firm has the capability to perform a retroactive Positive Pay / Bank Reconciliation service. Positive Pay is a purchased process whereby you send your check file to the bank, and the bank only honors the check if it's on your file. We go a step further: if you provide us with your electronic bank statements, we will compare the bank statements with your A/P file by check #, check date, check amount, AND payee name. Using this methodology, we can catch situations where checks are stolen and everything matches except the payee name. Many positive pay software packages will only match on check #, date, and amount (not payee name) because performing any type of fuzzy-matching on payee name takes time (too much time in a fast-paced world). Even if you have Positive Pay now, let us do an audit to make sure nothing is "falling through the cracks".

Vendor File Maintenance
Duplicate Vendors: Using our proprietary data mining methods, we will eliminate duplicate vendors in your file Duplicate Employees: we can identify all duplicate employee records

Statistical Analysis Support
Calculate statistically valid sample sizes Calculate probabilities Perform correlation analysis, ANOVA, t-tests Provide cluster analysis expertise to probe hidden relationships Provide regression analysis to predict when fraud will occur Perform outlier detection to identify abnormal trends.