Recommendations/● attention· Data quality· Priority: Now

Close recipient-identity gaps on high-value awards.

The dataset shows 106 matches for this pattern; the 50 largest are cited here — recipients of substantial VA obligations that cannot be tied to a SAM.gov registration — no valid UEI on awards after the April 2022 UEI transition, or a UEI with a recent VA action that is absent from the SAM.gov public extract — totalling $4.0B. Some award types are exempt from registration; the rest are identity questions. The recommendation is grounded in 50 pattern-detector matches across the VA award data. Each cited match links back to specific source records, so every dollar in the headline can be re-added from them. Dollars are obligations on the cited records, not estimated losses.

Net obligations involved
$4.0B
Matches cited
50
Top severity
attention
Patterns
1

Net obligations involved is the sum of the cited matches' obligations (commitments recorded on USAspending.gov). It is the scale of the records to review, not an estimate of loss, improper payment or recoverable money; totals across recommendations can overlap.

Risk overview

Likelihood
● moderate
Impact
● high
Composite
Critical
Regulatory exposure

Recipient identity and representation gaps weaken the DATA Act reporting chain and small-business goaling credit.

Operational risk

Master-data gaps cascade into every downstream report and control.

Reputational risk

Public data with identity gaps is harder for oversight bodies to trust.

Justification & audit trail

50 cited matches · $4.0B in net obligations involved

The dataset shows 106 matches for this pattern; the 50 largest are cited here — recipients of substantial VA obligations that cannot be tied to a SAM.gov registration — no valid UEI on awards after the April 2022 UEI transition, or a UEI with a recent VA action that is absent from the SAM.gov public extract — totalling $4.0B. Some award types are exempt from registration; the rest are identity questions. The recommendation is grounded in 50 pattern-detector matches across the VA award data. Each cited match links back to specific source records, so every dollar in the headline can be re-added from them. Dollars are obligations on the cited records, not estimated losses.

Key metrics
  • identity_gap
    not-in-sam
    source: app.award_current
  • net_obligations
    $1.1B
    source: app.award_current
  • identity_gap
    not-in-sam
    source: app.award_current
  • net_obligations
    $290M
    source: app.award_current
  • identity_gap
    not-in-sam
    source: app.award_current
  • net_obligations
    $265M
    source: app.award_current
Source rows (10 cited)
SourceRowFieldValue
app.award_currentDJY8WLTGF577identity_gapnot-in-sam
app.award_currentDJY8WLTGF577net_obligations1,067,111,941
app.award_currentGMZ2NQG2C4D1identity_gapnot-in-sam
app.award_currentGMZ2NQG2C4D1net_obligations290,268,168
app.award_currentDW28T2KQKN23identity_gapnot-in-sam
app.award_currentDW28T2KQKN23net_obligations265,481,639
app.award_currentFXVMRFTE7AN4identity_gapnot-in-sam
app.award_currentFXVMRFTE7AN4net_obligations265,162,949
app.award_currentKHKKRGGXBPU4identity_gapnot-in-sam
app.award_currentKHKKRGGXBPU4net_obligations153,882,968

Timeline & dependencies

Start offset
+0 days
Duration
90 days
Depends on
none
Milestones
  1. D+14Audit committee briefed
  2. D+45Evidence pack assembled
  3. D+90Decision recorded

Calibrated next steps

  1. 01Backfill UEIs for awards where the recipient is registered under a different identifier.
  2. 02For active recipients with no registration, confirm the SAM.gov exemption that applies.
Based on patterns
Recipient Not Found in SAM.govView all matches