The AI Governance Specifications provide a foundation for building artificial intelligence systems that are transparent, accountable, and aligned with human authority. They focus on creating structured governance layers that help organizations manage AI behavior, define operational boundaries, maintain oversight, and ensure that automated systems operate within clearly established policies and objectives.
These specifications address critical challenges in modern AI deployment, including risk management, safety evaluation, compliance enforcement, provenance tracking, explainability, and responsible autonomy. By introducing mechanisms for validation, monitoring, auditing, and verification, they enable AI systems to become more trustworthy while allowing organizations to maintain control over increasingly complex intelligent workflows.
Designed for modular and interoperable AI ecosystems, these governance frameworks support everything from individual AI agents to large-scale multi-agent environments. They emphasize human-in-the-loop decision-making, evidence-based reasoning, controlled execution, and transparent accountability, creating pathways for AI systems that can operate effectively while remaining understandable, verifiable, and aligned with intended outcomes.
Together, these specifications establish an infrastructure layer for responsible AI development, helping developers, organizations, and communities create intelligent systems that prioritize safety, trust, user authority, and long-term sustainability.
All specifications are released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be freely used, modified, and distributed with the required attribution provisions outlined in Section 7 of the license. Organizations seeking attribution-free commercial deployment may obtain a Specification Branding License (SBL), with licensing terms and pricing based on the specification category, deployment scope, usage scale, and the size of the network or organization utilizing the specification.
AuthTrace AI
https://roxanneardary.com/authtrace-ai/
An AI provenance and ownership governance specification that tracks AI-generated content lineage, authorship, verification history, and rights management.
AuthorityCore
https://roxanneardary.com/authoritycore/
An AI governance and reliability framework that establishes authority boundaries, evidence-based reasoning, human oversight, and controlled AI decision processes.
Cognitive Orchestration Stack (COS)
https://roxanneardary.com/cognitive-orchestration-stack/
A structured AI orchestration specification designed to separate reasoning, planning, and execution layers to create more transparent and controllable AI workflows.
CortexLoop
https://roxanneardary.com/cortexloop/
A human-governed AI orchestration framework that enables transparent reasoning, controlled execution, and auditable AI workflows.
Covenant AI
https://roxanneardary.com/covenantai/
A bounded autonomy AI governance specification focused on human authority, privacy, safety controls, and verifiable AI behavior.
FortiMind
https://roxanneardary.com/fortimind/
An ethical AI decision-support framework designed around secure, transparent, and human-aligned intelligence systems.
GovernanceFabric
https://roxanneardary.com/governancefabric/
An AI governance architecture specification providing the foundational structure for policies, accountability models, compliance controls, governance workflows, and coordinated oversight across AI systems.
HelmOS
https://roxanneardary.com/helmos/
A local-first AI agent governance runtime providing intent verification, trust management, controlled autonomy, and traceable execution.
Human Intent Governance Standard
https://roxanneardary.com/human-intent-governance-standard/
A governance standard that ensures AI actions remain aligned with verified human intent, approval requirements, compliance rules, and accountability mechanisms.
IntentMesh
https://roxanneardary.com/intentmesh/
An intent-based governance specification connecting human objectives, system behavior, licensing requirements, and execution policies.
Kova
https://roxanneardary.com/kova/
A policy-driven AI governance framework designed to control AI access, actions, web interactions, and automated decision processes.
LatticeOS
https://roxanneardary.com/latticeos/
A governed multi-agent AI operating system that provides structured coordination, human oversight, execution controls, and auditability.
NeuraTrust
https://roxanneardary.com/neuratrust/
A trustworthy AI governance specification focused on transparent decision-making, safety validation, accountability, and verifiable intelligence systems.
Open Intelligence Stack (OIS)
https://roxanneardary.com/open-intelligence-stack/
A governance-first AI architecture providing modular intelligence components, evidence tracking, provenance, policy analysis, and human-supervised workflows.
SentinelMesh
https://roxanneardary.com/sentinelmesh/
An AI governance and oversight specification providing continuous monitoring, risk assessment, safety evaluation, impact analysis, audit support, and federated governance capabilities across AI systems.
Stratum
https://roxanneardary.com/stratum/
An AI governance enforcement layer that manages policies, permissions, approvals, context controls, sandbox execution, and audit logging before AI actions occur.
TraceGraph OS
https://roxanneardary.com/tracegraph-os/
A provenance-driven AI intelligence specification enabling traceable reasoning, causal analysis, historical records, and explainable AI workflows.
ValidationOS
https://roxanneardary.com/validationos/
An AI assurance specification for validating, monitoring, certifying, and improving AI systems through structured evaluation processes.
VerifyRights
https://roxanneardary.com/verifyrights/
An AI compliance and rights-management specification that tracks ownership, licensing terms, authorized usage, and potential violations through automated verification.
A Specification Branding License can be purchased for the basket of Governance Specs
Governance Specifications Basket Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | $700,000 | Perpetual License |
| Medium | 21- 1000 | $7,000,000 | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |
