A defined evidence workstream for active reviews.
- Federal contractors introducing AI-enabled systems or workflows
- AI vendors responding to agency acquisition or customer evidence requests
- GovCon advisers adding a bounded AI assurance workstream to an existing engagement
- Teams preparing for ATO, security, procurement, or oversight review
What enters the review package.
AI system inventory, purpose, owner, deployment boundary, and version record
Risk classification, impact assessment, testing, human oversight, and approval artifacts
Security, data handling, access control, tenant segregation, and incident records
Control mappings, customer questionnaires, procurement responses, and remediation records
Where procurement and assurance reviews stall.
Evidence exists across spreadsheets, tickets, repositories, and email but cannot be independently reconstructed.
Controls are described, but the supporting artifacts are stale, unattributed, or not tied to the reviewed system version.
Security evidence is available, but AI-specific ownership, risk classification, or human oversight records are missing.
The organization cannot explain what to fix first because gaps are not ordered by procurement dependency.
One fixed-scope engagement. Five reviewer-facing outputs.
Evidence Inventory, Mapping Summary, Gap Register, Ordered Remediation Plan, and Chain-of-Custody Statement.
- Define the AI system and review context.
- Receive and inventory the approved evidence set.
- Verify evidence relationships and record gaps.
- Order remediation by review dependency.
- Deliver the point-in-time evidence package.
Give reviewers a package they can examine without reconstruction.
$3,500. One defined AI system and review context. No annual license required.