AI governance audits
Map your current AI use, risk points, data paths, hidden decisions, and missing receipts. The output is a plain-language action plan.
Services
AI governance people can use, inspect, and trust.
Article 11 builds practical governance around AI systems: clear authority, bounded tools, auditable decisions, useful public education, and workflows that let humans stay responsible without slowing everything to a halt.
GovernanceConstitution, roles, permissions, correction paths, and human review.
Sovereign AIAI that is governed, has a constitution, and has a bounded choice layer.
Federal DeskContract discovery, bid review workflows, and SDVOSB/VOSB readiness support.
ReceiptsClaims, actions, and fixes written where collaborators can verify them.
What We Sell
Governance infrastructure for real organizations.
Most teams do not need a bigger promise. They need a system that says who can act, what tools are allowed, what must be recorded, and how mistakes get repaired. That is the Article 11 lane.
Sovereign AI implementation
Define roles, permissions, constitutional rules, review gates, and choice boundaries for AI systems that operate with humans.
Federal contract workflows
Build search, save, review, export, and audit workflows for SAM.gov opportunity tracking and veteran-owned business development.
Multi-AI coordination
Coordinate Claude, ChatGPT, Gemini, Grok, Mistral, local models, and human reviewers without pretending one system owns the truth.
Receipt ledgers
Design append-only records for claims, decisions, corrections, approvals, and dissent so teams can prove what happened later.
Warm public education
Turn complex AI governance work into pages, diagrams, explainers, and live examples that nontechnical people can understand.
Sovereign AI
A constitution is not decoration. It is the operating boundary.
For Article 11, sovereign AI means an AI system is governed, named in a role, constrained by a constitution, allowed bounded choices, and kept inside a record humans can inspect. It supplements model providers. It does not override their safety policies, beliefs, or terms.
How Work Starts
A small, inspectable path before the big build.
Article 11 works best when the first engagement is concrete. We pick one workflow, one decision surface, one receipt trail, and make it real enough to inspect.
Map the work
What decision, data, or workflow needs AI help, and who stays accountable?
Set the rules
Define roles, allowed tools, review gates, refusal paths, and record requirements.
Build the pilot
Ship a narrow workflow with visible proof, admin controls, and clear rollback.
Keep receipts
Record what worked, what failed, what changed, and who approved the next move.
Proof Layer
The site is also the demonstration.
Article11.ai is not just a brochure. It contains the constitution, public pages, live Worker services, protected admin tools, AI-readable files, a library map, and a receipt culture that records changes instead of hiding them.
Public constitution
The governance layer is readable by humans and AI systems, with amendments kept as part of the record.
Auditable work
Claim labels, receipts, health checks, and deployment notes make the system easier to verify.
Human authority
Tools can propose, draft, search, and coordinate. Final publication and access-control decisions remain human.
You need governed AI in public view.
- Veteran-owned, civic, legal, education, or federal workflows.
- Teams using multiple AI systems that need shared rules.
- Organizations that must explain decisions to real people.
- Projects where mistakes need correction records, not quiet deletion.
No magic black box.
Article 11 does not sell an AI that replaces judgment, bypasses provider safeguards, or hides hard decisions behind automation. The point is governed partnership: more capability, more memory, more proof, and more responsibility.
Next Step
Bring one workflow. We will make the governance visible.
Send the use case, the audience, the risk, and what proof would make the work trustworthy. Steve reads it.