Siza Consulting insight
The claim starts with the score, not the evidence
A scorecard forecast is useful only if each material point is traceable to an authoritative record. When the calculation is prepared first and evidence is gathered later, teams often discover that the claimed activity, payment, certificate, attendance register or ownership record does not support the point assumed.
Code requirement
The wrong framework or recognition rule is applied
The applicable Generic Code, Sector Code, entity-size category and recognition rule must be settled before points are modelled. A valid-looking calculation can still fail if it applies the wrong scorecard, uses an outdated certificate, treats an affidavit outside its permitted scope or ignores a sector-specific requirement.
Siza Consulting insight
Reconciliations do not close
Verification pressure often reveals gaps between management accounts, payroll records, procurement ledgers, training schedules and the final scorecard workbook. Reconciliations should explain the population, exclusions, cut-off date, source system and calculation logic before the file is submitted.
Code requirement
Timing is misunderstood
Many B-BBEE elements depend on the measurement period, payment timing, programme delivery, employee status or certificate validity at a specific point. A late payment, expired recognition document or post-period correction may not support the score assumed in a year-end forecast.
Siza Consulting insight
Internal ownership is unclear
Evidence readiness weakens when every department thinks another team owns the file. Assigning owners for procurement, finance, HR, learning, legal and executive approval turns verification from a document chase into a managed control process.
Published data
Non-compliant contributor share in the B-BBEE certificate sample
The national sample shows why conservative, evidence-led forecasting matters, but it does not identify why any individual verification claim failed.
| Label | Value | Unit |
|---|---|---|
| 2013 | 1 | % of sampled entities |
| 2018 | 22 | % of sampled entities |
| 2023 | 23 | % of sampled entities |
Source: B-BBEE Commission, South Africa's Transformation Landscape (2013-2023), Table 5, page 53; interpretive text and Figure 1 discussion, page 54, published 2026. Reporting period: 2013, 2018 and 2023 certificate/report sample. Accessed 19 July 2026.
Methodology note: Values are quoted from the percentage share of entities by B-BBEE status level. The report notes that the Commission cannot confirm point allocation accuracy from underlying company data.
Limitation: The sample consists of certificates and reports submitted by verification agencies and is not a census of all South African entities.
Measurement note
How to read this insight
No authoritative national dataset was identified that apportions failed verification claims among these five causes.
The most dependable scorecard is not the most optimistic one. It is the one in which every material point can be traced from the final calculation back to an authoritative record.
Sources and measurement basis
This insight draws on official publications identified below. Figures retain the definitions, reporting periods and limitations of their original sources.
- B-BBEE Commission, South Africa's Transformation Landscape (2013-2023), Table 5, page 53; interpretive text and Figure 1 discussion, page 54, published 2026. Reporting period: 2013, 2018 and 2023 certificate/report sample. Accessed 19 July 2026.
The data provides broader economic or transformation context and does not directly measure the verification outcome discussed in this article.
General information notice
This content provides general information and does not replace an assessment of an entity’s applicable B-BBEE Code, measurement period, facts, calculations and supporting evidence.