MSManagement systems
TA-14 AI GOVERNANCE LIBRARY
AI Management Systems
Explore the organizational systems, governance programs, regulatory operating models, and evidence structures used to manage artificial intelligence across policy, risk, lifecycle, assurance, execution, and continual improvement.
OSOperating structure
MANAGEMENT SYSTEM PURPOSE
Governance becomes operational when responsibility, evidence, control, review, and improvement are organized into a repeatable system.
An AI management system is more than a policy collection. It establishes how an organization assigns authority, identifies obligations, evaluates risk, approves systems, preserves records, monitors performance, responds to incidents, and improves its governance over time.
MANAGEMENT SYSTEM CONTROL DESK
Find the operating model that governs the organization behind the AI system.
Search across standards, frameworks, regulatory programs, enterprise models, and evidence-bound execution architectures. Compare their scope, authority, operating controls, records, and governance outcomes.
6Systems displayed
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42
Published
International Management System StandardISO and IEC
ISO/IEC 42001 AIMS
ISO/IEC 42001 Artificial Intelligence Management System
A formal artificial intelligence management system standard for establishing, implementing, maintaining, and continually improving organizational AI governance.
Management system purpose
Provide a repeatable organizational system for managing AI responsibilities, risks, objectives, controls, documentation, performance evaluation, and continual improvement.
Operating model6 functions
Lifecycle coverage
PlanningDesignDevelopmentDeploymentOperationRetirement
Expected management records
AI Management System Scope
AI Policy
Risk Treatment Plan
Statement of Applicability
Internal Audit Record
Management Review Record
Governance outcomeA documented and continually improving organizational AI management system.
RMF
Published
Voluntary Risk Management FrameworkNational Institute of Standards and Technology
NIST AI RMF Governance Program
NIST Artificial Intelligence Risk Management Framework
An organizational AI risk management framework structured around the Govern, Map, Measure, and Manage functions.
Management system purpose
Help organizations incorporate trustworthiness considerations into the design, development, deployment, use, and evaluation of AI systems.
Operating model6 functions
Lifecycle coverage
GovernanceContext MappingMeasurementRisk TreatmentMonitoringImprovement
Expected management records
Governance Profile
Context Map
Risk Measurement Record
Impact Assessment
Risk Response Decision
Monitoring Record
Governance outcomeA contextual and risk-informed program for managing trustworthy AI across organizational functions.
TA
Operational Architecture
Evidence-Bound Execution GovernanceTA-14 Authority
TA-14 Admissible Execution
TA-14 Admissible Execution Architecture
An evidence-bound governance architecture for determining whether consequential AI execution is admissible before an action is committed.
Management system purpose
Connect governance requirements, authority, evidence, continuity, binding, execution control, and preserved outcomes within one governed operating sequence.
Operating model6 functions
Lifecycle coverage
Evidence IntakeApplicabilityAdmissibilityBindingExecutionOutcome
Expected management records
Reality Record
Continuity Record
Admissibility Determination
Binding Record
Execution Receipt
Outcome Record
Governance outcomeControlled execution supported by admissible evidence, preserved authority, and reviewable outcome proof.
OE
Active Guidance
International Policy Governance ModelOrganisation for Economic Co-operation and Development
OECD Principles Operating Model
OECD AI Governance Operating Model
A policy-oriented governance model grounded in inclusive growth, human-centered values, transparency, robustness, safety, security, and accountability.
Management system purpose
Translate international AI principles into organizational policies, responsibilities, lifecycle controls, and accountability practices.
Operating model6 functions
Lifecycle coverage
PolicyDesignUseMonitoringAccountabilityReview
Expected management records
Responsible AI Policy
Human Rights Assessment
Transparency Record
Safety Evaluation
Accountability Matrix
Impact Review
Governance outcomeAn organizational governance model aligned with internationally recognized responsible AI principles.
EU
Regulatory Implementation
Regulatory Compliance ManagementEuropean Union
EU AI Act Compliance Program
EU AI Act Compliance Management System
An organizational compliance structure for identifying AI system roles, risk classifications, obligations, controls, documentation, and post-market responsibilities.
Management system purpose
Operationalize provider, deployer, importer, distributor, and other regulated obligations across the AI system lifecycle.
Operating model6 functions
Lifecycle coverage
ApplicabilityClassificationConformityDeploymentMonitoringIncident Response
Expected management records
Role Determination
Risk Classification
Technical Documentation
Conformity Evidence
Human Oversight Record
Post-Market Monitoring Record
Governance outcomeA traceable compliance program connecting regulated obligations to organizational controls and evidence.
EG
Implementation Model
Organizational Governance ProgramEnterprise Governance Authority
Enterprise Responsible AI Program
Enterprise Responsible AI Governance Program
A configurable enterprise operating model for coordinating policy, review, risk, assurance, legal, technical, and executive governance functions.
Management system purpose
Create a unified organizational structure for governing AI portfolios, use cases, systems, vendors, incidents, and lifecycle decisions.
Operating model6 functions
Lifecycle coverage
IntakeInventoryReviewApprovalMonitoringReporting
Expected management records
AI Inventory
Use-Case Intake Record
Risk Tier Decision
Review Committee Decision
Vendor Assessment
Executive Governance Report
Governance outcomeAn integrated enterprise program for consistent AI oversight, decision-making, and accountability.
MXSystem comparison
MANAGEMENT SYSTEM CROSSWALK BOUNDARY
Different systems may govern the same organization from different directions.
A management system standard may define organizational processes. A risk framework may structure assessment and treatment. A regulation may impose mandatory obligations. An execution architecture may determine whether a consequential action is permitted to proceed. Crosswalks reveal where these systems align, where they supplement one another, and where one system cannot substitute for another.