Make more from every line, and lose less on the way.
Thousands of vendors, dealers and parts create thousands of places for money to slip. We find them in your ERP data, value them and help you act, plant by plant.
01Where money leaks in manufacturing
Vendor payments
Duplicate invoices, split orders and bank-detail changes across plants and entities.
Dealer and distributor schemes
Claims and discounts paid outside the scheme rules.
Inventory
Slow-moving stock ties up cash while other lines run short.
Freight
Half-empty trucks and unchecked carrier invoices.
Learn more →Twelve use cases across commercial, plant, IT and people risk
- Vendor risk scoringVendor master, change logs, payments
- Price creep against contractContracts, orders, invoices
- Rebates and credit notesRebate terms, billing, credit notes
- Scrap rate and scrap priceMaterial movements, scrap sales
- Warranty claim anomaliesClaims, serial numbers, dealer data
- Capex and toolingProjects, tool payments, parts produced
- Same-user park and postDocument headers, workflow logs
- Firefighter sessionsSecurity audit log, postings
- SoD conflicts actually usedRoles joined to transactions
- Duplicate expense receiptsReceipt images, image hashing
- Pay after exit; shared accountsPayroll, HR master
- Third-party screeningSupplier master, registries, sanctions
Each use case names the data it needs. Several of those sources sit outside the ERP.
What a sample misses, in the plant and in SAP
Plants and service: the evidence is a rate against peers
- Situation
- A multi-plant manufacturer; scrap sales and warranty claims reviewed by sampling.
- What a sample misses
- Every scrap note and claim is documented. The anomaly is the rate, not the record.
- Data and technique
- Analytics and machine-learning anomaly scores: scrap by plant, line and shift; scrap prices against an index; claims per service partner.
- Typical findings
- Scrap at twice the peer rate on one line’s night shift; one service partner with repeat serial numbers and claims after expiry.
- Control fix
- Scrap weighed and priced against an index; serial-number checks before any warranty payment.
SAP S/4HANA: access reviews show who could. Logs show who did.
- Situation
- An S/4HANA migration: roles remapped, and firefighter and migration users active through cut-over.
- What a sample misses
- The same user parks and posts, or edits a parked document after approval. Each posting looks authorised.
- Data and technique
- Process mining on parked-by and entered-by users, change documents and the security audit log, joined to the postings.
- Typical findings
- Same-user park and post on payments; postings by migration users after go-live; vendor bank changes made in firefighter sessions.
- Control fix
- Workflow blocks same-user park and post; migration IDs locked at go-live; firefighter sessions reviewed against postings.
Plant data is audit data. And test the migration window like a fraud window: it often is one.
Illustrative composite cases, read-only access. ACFE 2026: non-cash theft features in 41% of manufacturing cases.
Inventory, scrap and warranty: 12 tests to run first
| Inventory and scrap | Warranty and service |
|---|---|
| Scrap rate outliers by plant, line and shift | Repeat serial numbers across claims |
| Scrap sold below market, or always to one buyer | Claims after the warranty has expired |
| Write-offs just before stock counts | Service partner claim rates against their peers |
| Negative stock and backdated movements | Parts claimed against labour hours claimed |
| Count adjustments posted by the same user | Claims clustered at month end |
| Slow-moving stock reclassified as scrap | The same technician or customer across many claims |
Thresholds are set for each entity and tuned on the results. Plant and quality data may sit outside the ERP.
05Earn $ and Save $ in manufacturing
- EARN $
- Pricing & margin (Vittora CPX) Working capital & inventory (Vittora SCM) Revenue leakage (CompliBear order-to-cash tests)
- SAVE $
- Fraud & duplicate payments (CompliBear) Third-party risk (CompliBear TPRM) Freight & logistics (ToS)
ALTeX Hub began as a controls-monitoring prototype for a single plant. An auto-components maker released USD 2.8 Mn of working capital by cutting slow-moving stock 22% across 4 warehouses.
Where is your money hiding?
06Other industries
Where is your money hiding?
Three minutes to an estimate. Thirty minutes to a plan. Six weeks to valued findings on your own data.