Understanding and Implementing the Artificial Intelligence Management System

The benefits of implementing AIMS based on ISO/IEC 42001:2023 “Artificial Intelligence – Management System” standard.

Artificial Intelligence (AI) is transforming industries at a rapid pace, yet few established frameworks exist to guide responsible AI development, deployment, and governance. To address this critical gap, the ISO/IEC 42001:2023 standard introduces the world’s first comprehensive management system framework specifically for AI.Artificial Intelligence Management System ISO 42001

This training program equips you with the knowledge and practical tools to understand, implement, and maintain an Artificial Intelligence Management System (AIMS) aligned with ISO/IEC 42001:2023. You will learn how to systematically manage risks and opportunities associated with AI technologies, ensure transparency, traceability, and reliability, and demonstrate your organization’s commitment to responsible AI use.

Through structured learning, real-world examples, and actionable guidance, you will be prepared to embed AIMS into your daily operations—enhancing trust, competitiveness, and sustainable innovation in an AI-driven world.

Instructor: Anatolii Savin, PMP, PfMP, M.S.P.M
Training Duration: 1 day.
Number of Participants: 9-15 people (for classroom training) or unlimited (for online training).
Language: Ukrainian or English.

Target Audience

The ai.ManagementSystem training is designed for organizations and professionals who develop, use, monitor, or provide products and services involving Artificial Intelligence (AI) systems, and who seek to implement responsible, structured, and risk-based approaches to AI management.

This course is ideal for:

  • Business Leaders and Executives responsible for adopting AI technologies while ensuring alignment with organizational objectives, compliance requirements, and societal expectations.
  • AI Developers, Engineers, and Data Scientists who build AI models and solutions and need to integrate responsible development, transparency, and continuous monitoring practices.
  • IT Managers and System Architects tasked with embedding AI systems into organizational infrastructure and ensuring that AI-specific considerations (e.g., continuous learning, explainability) are addressed.
  • Risk Managers, Compliance Officers, and Governance Professionals involved in identifying, assessing, and mitigating AI-related risks while maintaining auditability and accountability.
  • Quality, Safety, and Security Specialists aiming to align AI implementations with broader organizational management systems and ensure trustworthiness across the AI lifecycle.
  • Legal, Ethics, and Policy Advisors concerned with the responsible deployment of AI, adherence to regulatory requirements, and addressing ethical challenges linked to AI decision-making.
  • Project and Program Managers overseeing AI initiatives who must ensure that risk-based controls and performance evaluations are embedded throughout the project lifecycle.
  • Suppliers, Partners, and Third-party Providers who contribute AI components, systems, or services and need to demonstrate compliance with responsible AI practices.

Whether you are introducing AI for the first time or scaling its usage across your organization, this training empowers you to understand and apply ISO/IEC 42001:2023 standards to build a resilient, transparent, and trustworthy AI Management System (AIMS).

Knowledge and Skills Acquired

Upon completing the ai.ManagementSystem training, participants will acquire the following knowledge and skills:

  • Gain a clear and structured understanding of the principles, clauses, and controls outlined in the AI Management System (AIMS) standard.
  • Learn how to identify, assess, and treat AI-specific risks, including risks related to transparency, bias, explainability, continuous learning, and societal impacts.
  • Acquire the ability to establish, document, implement, maintain, and continually improve an AI management system tailored to your organization’s context, size, objectives, and regulatory obligations.
  • Understand how to align AIMS with existing management systems (e.g., quality, information security, data governance) and embed AI considerations into organizational decision-making and operational workflows.
  • Learn to define leadership roles, responsibilities, policies, and oversight mechanisms necessary for responsible AI use, development, and deployment.
  • Gain the skills to plan, control, and monitor AI operations effectively across the entire AI system lifecycle, ensuring continuous compliance, quality, and improvement.
  • Learn how to identify interested parties, assess their needs and expectations regarding AI use, and communicate organizational policies and performance transparently.
  • Develop the ability to conduct and document formal assessments of the potential societal, individual, and organizational impacts of AI systems throughout their lifecycle.
  • Understand how to design internal audit programs for AIMS, monitor performance metrics, and conduct management reviews to ensure system adequacy and effectiveness.
  • Master techniques to identify nonconformities, implement corrective actions, and drive continual improvement of the AI management framework.

By the end of the training, participants will be equipped to responsibly manage AI within their organizations and demonstrate commitment to transparency, accountability, and sustainable innovation in AI deployment.

Main Topics to be Covered

  1. Introduction
    • The benefits of implementing an Artificial Intelligence Management System (AIMS)
  2. The Need and Overview of an AI Management System (AIMS)
    • Understanding categories of AI uses
    • How AI merits and challenges affect AI application
    • Impact of laws and regulations on AI deployment
    • Promoting trust, transparency, and reliability in AI systems
    • The role and advantages of expert standardization
    • Benefits of adopting a management system approach
    • Overview and structure of ISO/IEC 42001:2023 AIMS
  3. Defining Organizational Context
    • Understanding the organization’s internal and external context (Clause 4.1)
    • Identifying the needs and expectations of interested parties (Clause 4.2)
    • Defining the AI management system’s scope (Clause 4.3)
    • Establishing the AI management system (Clause 4.4)
  4. Identifying Leadership and Creating AI Policy
    • Leadership and commitment to AIMS (Clause 5.1)
    • Developing and implementing an AI policy (Clause 5.2)
    • Assigning roles, responsibilities, and authorities for AI (Clause 5.3)
  5. AI Planning
    • General requirements for planning (Clause 6.1.1)
    • Conducting AI risk assessments (Clause 6.1.2)
    • Managing AI risk treatment (Clause 6.1.3)
    • Performing AI system impact assessments (Clause 6.1.4)
    • Setting AI objectives and planning changes (Clauses 6.2–6.3)
  6. AI Support and Operations
    • Managing AI resources, competence, and awareness (Clauses 7.1–7.3)
    • Effective internal and external communication (Clause 7.4)
    • Documented information management: creation, update, control (Clauses 7.5–7.5.3)
    • Operational planning and control of AI activities (Clause 8.1)
    • Executing AI risk assessments and treatments during operation (Clauses 8.2–8.3)
    • Conducting AI system impact assessments in operations (Clause 8.4)
  7. AI Performance Evaluation and Improvement
    • Monitoring, measurement, analysis, and evaluation of AI performance (Clause 9.1)
    • Conducting internal audits for the AI management system (Clause 9.2)
    • Performing management reviews to drive system adequacy and effectiveness (Clause 9.3)
    • Managing continual improvement, handling nonconformities, and taking corrective actions (Clauses 10.1–10.2)
  8. Conclusion
    • Reflecting on your role in implementing, managing, and sustaining AIMS within your organization

Training Technical Setup

For In-Class Training:

  • A classroom equipped with:
    • Projector and screen;
    • Whiteboard or flip chart;
    • WiFi for participants.
  • Training materials and workbooks.
  • Supplies for exercises.

For Online Training:
For required software, equipment, and settings, please visit PMDoc.ua/en/trainings/on-line.

Booking the Training

To book the training and for additional consultation, visit PMDoc.ua/en/Contacts. For training customization and detailed information about the content, don’t hesitate to get in touch with instructor Anatolii Savin: