Reduce
- Evidence-development touches
- Preventable requests for additional evidence
- Avoidable rework
- Processing variance
- Manual evidence-review burden
Government / Enterprise
VBB does not replace the adjudicator.
VBB improves what reaches the adjudicator.
Government decision-makers buy mission outcomes, measurable performance, and manageable implementation risk — not a feature list.
Increase
- Evidence First-Pass Yield
- Evidence completeness
- Evidence traceability
- Adjudicator readiness
- Explainability
- Auditability
Designed to attack the cost of evidence defects at their source. Detailed savings models belong in a capability statement, technical brief, and RFI/RFS response — not as an unsubstantiated public claim.
Federal AI reviews have flagged accountability and transparency risk when automated systems touch disability compensation. VBB answers that on the site itself: evidence-gated outputs, explainable reasoning, immutable audit trails, and mandatory human oversight. No official determination is made by the model.
Pilot scorecard
We publish the measurements we intend to prove. We do not invent the results.
Pilot results will be published when they are independently defensible. Until then, this is the contract.
| Measure | Pilot KPI |
|---|---|
| Evidence First-Pass Yield | Primary |
| Missing evidence detected pre-submission | Primary |
| Evidence retrieval time | Primary |
| Claim preparation cycle time | Primary |
| Avoidable development actions | Primary |
| Evidence-related rework | Primary |
| Evidence traceability | Primary |
| Veteran effort / time | Secondary |
| Human override rate | AI governance |
| AI unsupported-output rate | Safety |
| User satisfaction | Veteran experience |
| Cost per decision-ready package | ROI |
FY2026–2032
Move evidence quality upstream.
The best disability claim is not the one AI assembles fastest twenty years later. It is the one whose relevant evidence was preserved, structured, and made discoverable when the underlying events occurred.
Why wait until a veteran files a claim to discover that the evidence needed to establish what happened during service is incomplete, fragmented, inaccessible, or hard to correlate?
Service member → Military Treatment Facility → DHA → DoW → separation → veteran → VA → caregiver / survivor
FY2026–2027
Veteran claims evidence readiness
Prove Evidence First-Pass Yield™ through pilots.
FY2027–2028
Military transition evidence readiness
Begin before separation.
FY2028–2029
Longitudinal evidence continuity
DoW / DHA → VA.
FY2029–2030
Predictive evidence-gap identification
Find missing documentation while it can still be obtained.
FY2030–2032
Oath-to-Veteran evidence infrastructure
The claim becomes the output of a longitudinal evidence record — not a reconstruction years after service.
Built for high-stakes environments — stated precisely
Precision builds credibility with federal buyers. We do not describe alignment as certification.