Engagement · Compliant AI

AI adoption that stays inside your CUI boundary.

Every contractor is under pressure to adopt AI. Most paths to it — commercial endpoints, unlabeled data, opaque pipelines — create exactly the exposure a compliance program exists to prevent. This is the other path: AI designed inside the boundary, generating evidence as it runs.

  1. Evidence as a design outputMapped to NIST SP 800-171 objectives
  2. CUI-safe RAG and agent pipelinesNothing leaves the boundary
  3. Federal cloud nativeGCC High and Azure Government

What compliant-by-design means in practice

ARCHITECTURE

CUI-safe RAG and agent pipelines

Retrieval and generation scoped to the CUI boundary — Purview labels honored at ingestion, processing, and output; DLP enforced at every hop; nothing leaves the boundary to a commercial endpoint.

AUDITABILITY

Evidence as a design output

Access control, prompt and output logging, and decision traceability packaged as artifacts mapped to NIST SP 800-171 Rev. 2 objectives — the AI system strengthens your assessment package instead of threatening it.

PLATFORM

Federal cloud native

Deployed in GCC High and Azure Government with Defender monitoring and Intune-managed endpoints — the same six security planes your compliance program already runs on.

RISK

Export control engineered in

Model and technical-data export exposure under ITAR (22 CFR Parts 120–130) and EAR (15 CFR Parts 730–774) addressed at design time — data residency, access controls, and technology control plan alignment.

Typical first projects

Seventh Pillar

Scope a compliant AI project.

Tell us the workflow you want AI on and the data it touches. We'll come back with a boundary-safe architecture sketch and a fixed-scope pilot proposal. Or email rj@indirectit.com directly.