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

Establish full visibility into AI usage across your company
Reduce legal, operational, and data risks
Scale AI usage with confidence
Assign clear accountability for AI-driven processes
Respond systematically to AI incidents and failures
Integrate AI governance into your existing management structure
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