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Laying the Foundation for AI Governance

What an AIMS Framework should include

Step 1: Define the Scope and Context

Rules and Roles: Leading AI Responsibly

Step 2: Assign Ownership and Governance Roles

Step 3: Create the Core Policy and Rules

Managing Risks and Everyday Operations

Step 4: Build a Simple Risk and Control Process

Managing Third-Party AI Services

Incident Management and Response

Word Search

Making It Stick: Embedding and Improving

Embedding the framework into SME Operations

Step 5: Plan Monitoring, Review and Improvement

Knowledge Checks

Quiz: Foundations and Scope of Your AIMS

Quiz: Governance Roles and AI Leadership

Quiz: Crafting Core AI Policies

Quiz: Managing AI Risks and Third-Party Tools

Quiz: Incident Response and Continuous Improvement

Course Wrap-Up

Course Evaluation and Feedback

Badge Card

Artificial Intelligence is transforming the business landscape, offering unprecedented opportunities for growth, innovation, and efficiency. However, for Small and Medium-sized Enterprises (SMEs), adopting AI can feel overwhelming, especially when it comes to managing risks, ensuring ethical use, and avoiding large-enterprise bureaucracy.

$ (USD)

Artificial Intelligence is transforming the business landscape, offering unprecedented opportunities for growth, innovation, and efficiency. However, for Small and Medium-sized Enterprises (SMEs), adopting AI can feel overwhelming, especially when it comes to managing risks, ensuring ethical use, and avoiding large-enterprise bureaucracy. Welcome to "Designing an SME AI Management System with ISO/IEC 42001," a practical, step-by-step course designed specifically for smaller organizations ready to harness AI responsibly.

This comprehensive course demystifies the ISO/IEC 42001 standard, translating complex governance frameworks into actionable, proportionate strategies tailored for SMEs. You will learn how to transition from ad hoc AI experimentation to a structured, secure, and scalable AI Management System (AIMS). Throughout the modules, we will guide you through laying the foundation for AI governance, defining your scope, and assigning clear ownership roles. You will discover how to draft core AI policies, build simple yet effective risk and control processes, and manage third-party AI services with confidence.

Furthermore, the course covers essential incident response protocols and strategies for embedding this framework seamlessly into your daily operations. By the end of this journey, you will have the knowledge and tools to implement an AIMS that protects your business, builds customer trust, and fosters safe innovation. Whether you are a business owner, an IT manager, or a compliance officer, this course empowers you to lead AI initiatives responsibly and effectively. Join us to future-proof your SME and turn AI risks into strategic advantages.

ISO/IEC 42001 - Designing Your First AI Management System

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            <p>Artificial intelligence is rapidly transforming how small and medium-sized enterprises operate, but this exciting shift often brings a wave of ad hoc experimentation. Your team might already be using AI tools to streamline customer support, draft content, or analyze data. While this is fantastic for productivity, it can quickly become a compliance and security headache without the right guardrails. You need a way to harness this technology safely, but as an SME, you simply do not have the time or resources for heavy, bureaucratic red tape or an immediate, full-blown certification project. That is exactly where a pragmatic, right-sized approach to ISO/IEC 42001 comes into play.</p>

<p>Throughout this course, we will walk through the practical steps of designing your very first AI Management System (AIMS) tailored specifically for your business size and needs. We will start by laying a solid foundation, helping you define a realistic scope and context so you know exactly what needs managing. From there, we will dive into establishing clear rules and governance roles, ensuring everyone knows who is accountable without stifling innovation. You will also learn how to build simple risk and control processes, manage third-party AI services, and handle unexpected incidents smoothly. Finally, we will explore how to embed these practices into your everyday operations and continuously improve them, giving you a structured, sensible framework that protects your business while encouraging safe AI exploration.</p>
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