AI Governance in Your Organization

Establish AI governance structures from scratch when your company has been using AI tools with no oversight.

What Is AI Governance in Your Organization?

The EU AI Act requires more than per-system compliance. Organizations need governance structures that track all AI systems in use, assign responsible owners, define usage policies, and monitor compliance continuously. In this exercise, you register AI systems in a governance portal, respond to department heads asking whether they can keep using their tools, create governance policies, and address shadow AI incidents where employees use unapproved tools with sensitive data.

What You'll Learn in AI Governance in Your Organization

AI Governance in Your Organization — Training Steps

  1. The Need for AI Governance

    The EU AI Act requires more than per-system compliance - organizations need governance structures. This means knowing what AI you use, who is responsible, what policies apply, and how compliance is monitored. Without governance, individual compliance efforts are fragmented and gaps go undetected.

  2. Alarming Survey Results

    Alice sent a company-wide survey to every department head asking about AI tool usage. The results have just come in, and they paint a concerning picture of ungoverned AI adoption.

  3. The Empty Registry

    Alice opens the AI Systems Registry on the governance portal via the link in her own announcement email. It is completely empty - not a single AI system has been registered despite 14 tools being in active use across the company.

  4. Registering SmartHire

    The first system to register is SmartHire - the HR department's AI resume screening tool. This system ranks and filters job applicants, which falls under Annex III area 4 (employment) of the EU AI Act. Systems used in employment decisions are classified as high-risk.

  5. Registering ChatAssist

    The second system to register is ChatAssist - the customer service AI chatbot. This system interacts directly with customers, making it a limited-risk system under the EU AI Act. The key obligation is transparency: customers must be informed they are interacting with an AI system.

  6. Why Maintain a Registry?

    With two systems registered and twelve more to go, it is worth pausing to understand why this work matters.

  7. The AI Governance Policy

    Before fielding the questions she knows are coming, Alice opens the governance policy template from the GRC Portal nav. A governance policy defines the rules everyone must follow - from how new AI tools get approved to what data can be input into them. Without a policy, there is no standard to enforce.

  8. Department Questions

    Right on cue, two department heads ping the #general channel within minutes of each other. Both reveal the same gap the policy is designed to close: people assumed their informal AI usage did not need governance. Alice reads each question, then posts one reply that covers both.

  9. The Shadow AI Problem

    Tom from Engineering pings #general with exactly the kind of problem governance prevents: an intern has been pasting proprietary code into a free AI tool with no DPA for three weeks. This is not an individual mistake — it is a systemic failure. Alice needs to give Tom clear, immediate containment steps and reframe whose failure it really is.

  10. Building Governance That Lasts

    AI governance is not a one-time project. It is an ongoing process: register new systems, audit existing ones, update policies, and train employees. The key elements of effective AI governance are: An AI systems registry tracking all deployed AI Clear roles with assigned owners for each system Policies covering tool approval, data input, disclosure, and incident reporting Regular audits and reviews Employee training on AI usage guidelines The AI Governance Officer role is becoming as essential as the Data Protection Officer. Both exist to protect the organization from the risks of powerful technology used without oversight.