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RevenueLeak AI
Recover Hidden Revenue from Payments & Refunds
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Revenue leakage detection for audit, risk, and compliance teams

Find and recover hidden revenue from refunds, billing errors, and payment fraud.

Upload your data and instantly detect suspicious refunds, abnormal payment behavior, and control failures — before they turn into real losses.

Suspicious Transactions
128
Last 30 days
Potential Revenue Loss
$94K
Estimated risk
Avg Review Time
5 min
Per case
Critical Alerts
19
Need review
Risk Investigation Workspace
Fraud flow & event timeline
Open Demo Case
Relationship signals
Bank account changed
Refund issued
Customer reimbursement
Same account reused
Why this is suspicious

The refund was issued one day after a bank account update. The same account also appears on multiple unrelated customer records, raising potential diversion risk.

Risk score
78 / 100
Pattern rarity
3.2%
How it works

A simple workflow to detect, explain, and quantify hidden revenue loss.

Built for teams that want a clean, enterprise-style interface that feels credible to audit leaders, compliance teams, and prospective clients.

01

Detect Suspicious Transactions

Surface abnormal refunds, payment anomalies, and control gaps from billing and refund data in minutes.

02

Uncover Hidden Patterns

Reveal connections across customers, bank accounts, users, and transactions to identify suspicious behavior.

03

Investigate with Clarity

Follow event timelines, review linked signals, and understand how risky cases emerged step by step.

04

Quantify Financial Impact

Estimate potential exposure and prioritize the cases most likely to represent revenue leakage or fraud.

What we found

See exactly how money leaks happen — and how much is at risk.

This section helps the page feel more professional by combining a realistic case summary with visual investigation elements.

Real Example
$87,500
Potential revenue leakage detected in 6 months
  • Refund issued shortly after bank account change
  • Same bank account linked to multiple customers
  • Abnormal refund activity by specific users
  • Control failures hidden inside normal workflows
Investigation Console
Prioritized investigation queue
Live screening
Open cases
24
Critical
7
Potential loss
$87.5K
Case
RF-104
Policy
POL-2201
Pattern
Refund after bank change
Critical
Case
RF-116
Policy
POL-1874
Pattern
Shared bank account
High
Case
RF-127
Policy
POL-0912
Pattern
Abnormal refund volume
High
Case
RF-133
Policy
POL-4028
Pattern
Out-of-sequence approval
Review
Fraud Process Intelligence

Most fraud is not a single event — it is a process pattern.

Beyond detecting anomalies, understand the full process flow — where delays, rework loops, and suspicious paths occur.

Process Mining Demo

Interactive Flow Viewer

Explore real transaction flows to identify unusual paths such as repeated rework, abnormal approval chains, or delayed processing.

Open interactive demo →
  • • Identify excessive rework loops that may indicate manipulation
  • • Detect abnormal approval paths and broken control chains
  • • Highlight delays that hide suspicious operational behavior
  • • Understand the full transaction lifecycle before escalation
Open Process Mining Demo
Modules

Structured modules designed for audit, risk, and finance teams.

These modules keep the story focused on detection, investigation, and financial impact while making the page feel like a real product.

Module

Detection Module

Upload Excel or CSV data to identify suspicious refunds, duplicate-like behavior, unusual timing, and payment anomalies.

Module

Investigation Module

Review event timelines, linked entities, and case narratives so audit, risk, and compliance teams can investigate faster.

Module

Revenue Leakage Module

Estimate potential dollars at risk and focus review effort on the patterns most likely to impact financial results.

Next step

Want to uncover hidden revenue in your own data?

Review the demo workflow, evaluate the investigation experience, and discuss how the same approach could apply to your own data environment.