M57 / FEDERAL AI ASSURANCE / LOCAL-FIRST
AI assurance that stands up to review.
For federal contractors and federal delivery teams that need to show what an AI system is, which obligations apply, what evidence supports each control, what changed, and who made the decision.
Supports control-level evidence review. It does not certify compliance. It does not accept risk, make a legal determination, or replace an authorized human review.
THE REVIEW PATH
Every conclusion keeps its receipts.
Evidence confidence is explicit: registered → located → integrity verified → tested → reviewed → attested.- 01SOURCENIST · OMB
Primary-source provenance and effective dates
- 02OBLIGATIONFED-IMP-01
Obligation citations are filtered by recorded scope facts
- 03CONTROLGV-11
One operational control can map to many obligations
- 04EVIDENCESHA-256
Artifacts are located, hashed, tested, and reviewed
- 05DECISIONHUMAN
Named people retain approval and risk authority
$ m57-assure verify assurance.json
Impact assessment
Vendor dossier + test access
Data rights + portability
Secure AI lifecycle
ONE CORE / THREE REVIEW SURFACES
The same finding everywhere.
One deterministic engine powers people, CI, and agent workflows. No interface gets a separate compliance story.
- HUMAN / TTY
Interactive TUI
Navigate scope, findings, evidence confidence, reassessment triggers, and export paths without moving sensitive material into a hosted dashboard.
- AGENT / MCP
Structured MCP
Root-confined read tools and proposal-only drafts let agents investigate assurance state without signing, accepting risk, or mutating the project record.
- REVIEW / BUNDLE
Immutable assessments
Content-addressed snapshots, SHA-256 artifact manifests, JSON and Markdown reports, and an OSCAL-oriented preview travel together with independent bundle verification through bundle-verify.
PACK / US-FED / 2026.07
Federal-first. Versioned at the source.
The initial pack supports evidence workflows tied to open federal publications. References provide traceability; they are not claims of endorsement or formal conformance.
OMB M-26-04 is scoped only to recorded federal LLM procurement and carries its stated December 11, 2027 sunset date for mandatory source review.
Each reviewed PDF carries a retrieval date, page count, and SHA-256 digest. The complete pack fails closed for source review after October 19, 2026.
- NIST AI RMF 1.0Govern · Map · Measure · Manage
- Voluntary risk-management structure
- NIST AI 600-1Generative AI Profile
- Applied only when generative AI is explicitly recorded
- NIST SP 800-218ASecure development
- AI-specific software lifecycle practices
- OMB M-25-21Federal AI governance
- Impact assessment, testing, oversight, monitoring, remedies
- OMB M-25-22Federal AI acquisition
- Vendor documentation, evaluation access, rollback, portability
- OMB M-26-04Federal LLM acquisition
- Transparency materials, feedback, evaluation evidence, reviewed contract terms
CERTIFICATION / SCOPE CONTROL
Different assurances answer different questions.
No universal AI compliance certificate exists. The workbench records the applicable path instead of collapsing it into a badge.Action
Use it as voluntary risk-management and evidence structure.
Use the AIMS readiness drafts only with a licensed standard and qualified review; drafts are not evidence of conformity or certification.
Treat provider, deployer, importer, and other duties as separate dated packs—not a global badge.
Relevant if a hosted cloud service processes federal information; not required for this customer-run local toolkit.
Relevant when a covered contract environment handles FCI or CUI.
BEFORE THE PILOT
Keep authority visible.
Does the workbench certify compliance?
No. It produces control-level evidence findings and preserves the underlying sources, assumptions, and human decisions. It does not certify compliance, issue legal conclusions, or authorize deployment.
What does the MCP server change?
Nothing in the project record. Its tools are read-only or proposal-only. It can draft an evidence link, exception, or review request, but a human must verify and apply any change.
Where does evidence go?
The first release is local-first. Declared files stay within the configured root; URLs are not fetched; manifest and evidence paths are confined after symlink resolution.
What does a pilot produce?
A scoped AI system record, applicability rationale, control mapping, verified evidence inventory, immutable assessment, remediation register, TUI/MCP integration, and buyer-review bundle.
SCOPED ENTRY / ONE SYSTEM
Bring one AI workflow into evidence.
Start with a bounded system. Leave with its inventory, applicability record, verified evidence, findings, remediation path, TUI/MCP integration, and buyer-review bundle.
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