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AI Governance: Build a Managed AI System
Role Play
Highest Rated
Rating: 4.6 out of 5(16 ratings)
1,270 students

AI Governance: Build a Managed AI System

Turn AI from an informal employee tool into a structured, executive-controlled operating system
Role Play
Highest Rated
Created byThalita Milan | Marketing Automation & HubSpot expert, Anton Voroniuk, Anton Voroniuk Support
Last updated 3/2026
English

What you'll learn

  • Identify where AI is already embedded in company processes through a structured AI audit
  • Build an AI Usage Report that provides full executive visibility into AI integration and ownership
  • Classify data and assess real business, legal, and operational risks
  • Prioritize AI use cases using impact and likelihood to define governance focus
  • Establish clear governance rules and assign accountability across functions
  • Implement a practical AI Governance system that enables safe and scalable AI adoption

Course content

6 sections • 28 lectures • 1h 57m total length

  • AI Governance: A New CEO Responsibility5:15

    Understand what AI Governance means in business terms and why it belongs at the CEO level.

  • Shadow AI: How AI Begins Managing Parts of Your Business5:52

    Learn how “Shadow AI” emerges and why invisible AI usage creates management risk.

  • The Invisible AI Company
  • AI Risks: When AI Usage Creates Legal Liability5:46

    Identify when AI usage creates legal, operational, and financial liability for the company.

  • AI Ethics: Defining Boundaries and Retaining Control5:27

    Define clear boundaries for AI usage to retain human control over decisions.

  • Real Cases: When AI Usage Created Risks and Changed How Companies Are Managed4:55

    Review real cases where unmanaged AI created business consequences.

  • AI Regulation: Why Companies Must Be Able to Explain Their Use of AI4:46

    Understand why explainability and regulatory awareness are becoming executive requirements.

  • Systematic learning while taking the course2:40

    Here, we’ll focus on the importance of systematic learning.

  • How to study on Udemy?2:15

    In this lesson, you will explore how to study on the platform.

Requirements

  • Willingness to approach AI as a management responsibility, not just a productivity tool

Description

This course contains the use of artificial intelligence.


Today’s companies are adopting AI faster than they are learning to manage it.

Marketing teams generate content with AI. Sales teams draft proposals. Customer support uses AI to respond to clients. Product teams rely on AI for documentation and analysis. This adoption happens naturally — often without formal approval, visibility, or defined responsibility.

As a result, AI becomes part of the company’s operating system before the management system is ready.

For a CEO or executive, this creates a new leadership challenge. The issue is no longer whether AI is used. The issue is whether that usage is controlled, visible, and aligned with business objectives.

This course teaches exactly that: how to turn distributed, informal AI usage into a structured governance system.

You will learn how to see where AI is already integrated into your processes, how to classify data and risks, how to define governance rules, assign ownership, implement approval workflows, manage incidents, and create executive-level reporting.

This is not a course about AI tools.
This is a course about management architecture.

By the end of the program, AI will no longer be an informal employee productivity tool. It will become a managed, accountable, and scalable part of your company’s operating system.


What You’ll Learn

  • Identify where AI is already integrated into your company’s processes

  • Conduct a structured AI audit in 1–2 days

  • Classify data and determine real risk levels for each use case

  • Build an AI Usage Report and Risk Map

  • Prioritize AI risks using impact and likelihood

  • Define governance status: Allowed, Restricted, Prohibited

  • Create executive rules for AI usage and data handling

  • Assign ownership and build a governance structure

  • Implement approval processes for new AI tools and use cases

  • Build an AI incident and risk management system

  • Create an executive AI Governance Dashboard

  • Design a continuous AI Governance Workflow

After Completing This Course, You Will Be Able To

  1. Establish full visibility into AI usage across your company

  2. Reduce legal, operational, and data risks

  3. Scale AI usage with confidence

  4. Assign clear accountability for AI-driven processes

  5. Respond systematically to AI incidents and failures

  6. Integrate AI governance into your existing management structure

  7. Turn AI from an uncontrolled factor into a strategic asset

Requirements

  • Basic understanding of your company’s processes is helpful

  • Willingness to approach AI not as a trend, but as a management responsibility


AI is already influencing your business.
The question is whether you are managing that influence — or reacting to it.


This course gives you the system to lead with control instead of uncertainty.

Join in


This course contains a promotion

Who this course is for:

  • CEOs and founders who want control and visibility over AI usage in their company
  • Executives and senior managers responsible for operations, risk, or strategy
  • Business leaders in small and mid-sized companies scaling AI without a formal governance system

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