Financial Fraud Detection Software to Secure Your Business

Zyno Expenz uses AI-driven anomaly detection to identify suspicious expense patterns such as duplicate receipts, inflated claims, out-of-policy spending, and unusual vendor activity before they are approved.

Zyno Expenz is designed to detect duplicate submissions, personal expenses submitted as business costs, fictitious vendors, altered receipts, and mismatched expense dates — the most common forms of employee expense fraud.

Yes. Zyno Expenz AI cross-references every receipt against past submissions using OCR data, including vendor name, amount, and date. Suspected duplicates are flagged automatically for review.

Zyno Expenz AI analyzes receipt image metadata and content consistency to detect signs of manipulation. Receipts that appear altered or inconsistent with vendor records are flagged for manual review.

Yes. Zyno Expenz fraud detection runs at the point of submission, meaning suspicious expenses are caught before they reach the approver — not after reimbursement has already been processed.

Yes. Zyno Expenz compares each claim against historical averages and policy limits. Claims that exceed normal thresholds for a given employee or category are automatically flagged for additional review.

When Zyno Expenz flags a suspicious expense, it is either blocked from submission or routed to a designated reviewer with a fraud alert note, ensuring it is thoroughly examined before any reimbursement.

Yes. Zyno Expenz maintains a complete audit trail for every expense — including submission time, edits, approvals, and flags — making it easy for finance or compliance teams to investigate fraud cases.

Zyno Expenz AI learns from your organization's spending history and past fraud cases, continuously improving its detection accuracy and reducing both false positives and missed fraudulent claims.

Yes. Zyno Expenz can flag payments to unverified or blacklisted vendors and detect unusually frequent claims from the same vendor, helping businesses prevent both internal and vendor-related expense fraud.