ANALYTICS · JE FRAUD

Journal Entry Fraud Detector

AI-powered journal entry analysis — detect fraud patterns and unusual postings

Risk Profile

High Risk51%

Medium182%

Low82497%

Anomaly Types

Round Nos

After Hours

Override

Unusual Acct

By Quarter

180

210

225

232

—

JEs ANALYZED

—

ANOMALIES

—

HIGH RISK

—

CLEARED

📂

Drop your JE population file here

CSV or Excel (.csv / .xlsx / .xls) · header row required
Expected columns: JE_ID, Date, Account, Debit, Credit, Prepared_By, Approved_By, Description, System_Generated

Choose File