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Fraud & Corruption

Fraud — Loss by Scheme Type

Estimated fraud losses grouped by scheme: billing fraud, kickbacks, payroll and procurement collusion.

📖 6 min read🎯 Intermediate✍️ Updated 2026

Quantifying loss by how the fraud was run

Grouping fraud losses by scheme type tells an entity which fraud mechanics are costing it most, which is the starting point for targeted anti-fraud controls. The ACFE occupational-fraud taxonomy and COSO's fraud-risk principles both frame fraud by scheme, and PRECCA criminalises the underlying conduct. AuditPro Core estimates and groups losses by scheme so anti-fraud investment follows the money rather than intuition.

The Numbers

AuditPro Core renders this view from your tenant's live, tamper-evident records. The figures below are illustrative sample data.

Estimated fraud loss

R2.1 bn

▲ 14%

Top scheme

Procurement collusion

34%

Schemes detected

9

Detected by tip-off

47%

Fraud loss by scheme (R m)

Fraud schemes

SchemeLoss (R m)Cases
Procurement collusion71486
Billing / vendor fraud462124
Kickbacks & bribery38873
Payroll fraud30158
Expense reimbursement135211

Figures shown are illustrative sample data for demonstration. AuditPro Core renders these views from your own tenant's live, tamper-evident records.

Billing schemes

Fictitious vendors, inflated invoices and shell suppliers extract cash through the accounts-payable process. They are detected by vendor-master and invoice analytics.

Kickbacks and collusion

Officials steering awards in return for a benefit, and bidders colluding on price, corrupt the procurement process itself. These leave statistical and relationship red flags rather than obvious anomalies.

Payroll fraud

Ghost employees, inflated overtime and unauthorised allowances drain the salary budget. Payroll-to-HR reconciliation is the core detective control.

Scheme-led control design

Knowing which scheme dominates the loss lets management design specific controls, vendor vetting for billing fraud, bid analytics for collusion, rather than generic measures.

How AuditPro Core Bridges the Gap

  • Loss attribution: estimated losses are grouped by scheme type to expose the costliest fraud mechanics.
  • Continuous monitoring: scheme-specific analytics run over vendor, payroll and procurement data on each cycle.
  • Traceability to source: each estimated loss links to the transactions and parties that compose it.
  • Exception workflow: high-loss schemes drive prioritised investigation and control remediation.

Key Takeaways

  • Group loss by scheme to direct anti-fraud spend at the costliest mechanics.
  • Billing and payroll schemes yield to data analytics; collusion to red-flag analysis.
  • Payroll-to-HR reconciliation is the core control against ghost-employee loss.
  • Scheme-specific controls beat generic anti-fraud measures.

See This on Your Own Data

AuditPro Core renders this dashboard from your tenant's live, tamper-evident records — every figure traceable to source.