Manual payment · Vendor V-10482
- Bank account changed two days before the payment
- Invoice from a vendor dormant for over a year
- Invoice raised against an aged purchase order
CompliBear tests every transaction against 750+ proven insights and 50+ machine-learning models, every day, and ranks what it finds by the money at stake. Fraud, duplicate payments, control failures and revenue leakage reach the right owner, with the evidence, while there is still time to act.
100% of transactions, every day. Not samples, and not once a year.
Anomalies are ranked by business impact, so teams start with what costs most.
Each exception names the rule or model that fired and shows the evidence.
Exceptions go to the people who can fix them, with a deadline and a trail.
Every accept or reject sharpens the next run, so alerts get fewer and better.
Read-only to ERP and other sources
750+ insights and 50+ ML models
By money at risk and likelihood
To owners in OATS
Decisions retrain the models
A manual payment, a vendor change or a journal is posted in your ERP.
Data arrives as often as you agree and runs against the library.
The alert names the reason, the value at risk and the evidence.
Every decision your team records sharpens the next run.
An illustrative alert.
What the explainer shows.
| Agent | What it does |
|---|---|
| Sentinel AI | Builds a risk-based audit plan from your risk and control matrix. Trained on 30,500+ controls across domains, geographies and functions, it recommends what to test, including risks outside your current scope, and how many people and hours the plan needs. |
| Risk Intelligence | Runs the library of 750+ insights on your data and turns results into valued exceptions. |
| Risk Compass | |
| Alert System | Sends each exception to its owner with its value, reason and evidence. |
| DAWN | |
| ARM (Audit Readiness Meter) | Scores every control’s readiness from its pass and fail history. |
| RCA (Root Cause Analyzer) | Groups confirmed findings by cause and calculates what each cause costs. |
Procure to pay: duplicate invoices, split orders, vendor collusion, bank changes before payment.
Order to cash: sales aberrations, revenue recognition, bad-debt prediction, credit notes.
Record to report: unusual manual journals, reconciliations, GL classification.
People: ghost employees, duplicate pay, fraudulent travel claims, policy breaches.
Operations: write-offs, slow-moving stock, asset additions and disposals.
IT controls: SoD conflicts, privileged users, direct ERP changes, ITGC and ITAC.
Rule-based plus machine learning, with the reason behind every result.
SAP Concur fraud detection · A listed manufacturer tests every purchase-to-pay transaction in CompliBear: 4,200 exceptions found and USD 1.1 Mn of value in the first quarter.
5 insights and 2 machine-learning models on your data, with two weeks of hyper-care.
5 new insights every quarter, with eight weeks of hyper-care.
The full insight repository, 25 new insights every quarter, with eight weeks of hyper-care.
No. CompliBear can run in your environment or a private instance, with read-only access.
ERP rules block known errors at entry. CompliBear looks across time, vendors and systems for patterns no single entry shows, and values each one.
Fewer than you fear. Alerts are ranked and tuned during the LaunchPad, and your decisions keep reducing false positives.
We do, with you. That is the 20% in CoSaaS.
Two weeks to live, valued exceptions. Or six weeks to a 24-month look-back.