AI for Managers and Business Leaders: Strategy and Risk

Use AI to make smarter decisions, manage risk, improve operations and lead successful business transformation.

Created bySameh Elsayed, FCCA, MSc, FMVA, DipIFR, The Business Coach Academy

Last updated 10/2026

English

What you'll learn

Explain how artificial intelligence is transforming management, business operations and organizational decision-making.
Identify business processes and activities where AI can create meaningful and measurable value.
Use business data, KPIs and AI-supported insights to make better management decisions.
Evaluate whether a process should be automated, AI-assisted or remain primarily under human control.
Identify and assess strategic, operational, compliance and ethical risks associated with AI adoption.
Apply responsible AI principles including transparency, explainability, accountability, governance and human oversight.
Evaluate AI investments using costs, benefits, ROI, payback and practical business-case analysis.
Lead employees through AI-driven organizational change while addressing resistance, uncertainty and workforce concerns.
Develop practical governance, ownership and implementation approaches for building an AI-ready organization.
Create a practical 90-day AI implementation and leadership action plan for your team or organization.

Course content

12 sections • 66 lectures • 3h 13m total length

Welcome to AI for Managers & Business Leaders2:59
Why Every Manager Needs to Understand AI Now2:58
What AI Can—and Cannot—Do for a Manager3:08
Your Journey Through This Course3:00
Your AI Manager Toolkit
As part of this course, I have prepared a practical AI Manager Toolkit for you to download and keep as a reference throughout your learning journey. The toolkit includes an AI Opportunity Matrix, One-Page AI Policy, AI Risk Checklist, AI Business Case Template, AI ROI and Payback Calculator, Human-vs-AI Decision Checklist, and a 90-Day AI Implementation Plan.
Please download the toolkit now and keep it available throughout the course. We will refer to different tools at various stages and lectures as we explore AI opportunities, decision-making, risk, governance, investment evaluation, human oversight, and implementation.
Don't feel that you need to complete everything immediately. Each tool will become more meaningful as you progress through the relevant parts of the course.
Think of this toolkit as your practical companion to the course—helping you move beyond simply understanding AI concepts and start applying them to real management situations in your organization.
Tutor Introduction1:11

Don't Automate the Wrong Process2:05
Understanding Business Process Reengineering3:02
Identifying Process Bottlenecks3:47
The AI Opportunity Matrix3:01
? AI Manager Toolkit Activity:
Before selecting a process for AI, return to the AI Opportunity Matrix in the toolkit attached to Lecture 1.4 Your Course Journey. Use the matrix to determine whether the opportunity offers enough business value and feasibility to justify moving forward.
Human or AI? Deciding Who Should Make the Decision2:41
AI for Managers: Foundations and Business Applications

AI Opportunity Comes With Risk2:01
? AI Manager Toolkit Activity
We discussed how to identify and prioritize potential AI opportunities. Open the AI Manager Toolkit attached to Lecture 1.4 – Your Journey Through This Course and refer to the AI Opportunity Matrix. Use it to compare potential AI initiatives based on business value, data readiness, feasibility, implementation difficulty, and risk.
Understanding the Nature of Risk2:11
Strategic Risk7:17
Compliance Risk5:15
Operational Risk4:40
AI Opportunities and Risks in Business3:33

Managers Are Accountable for AI2:05
Ethics in AI Management2:04
Transparency and Explainability1:16
Accountability and Responsibility1:19
Governance Framework for AI1:50
Roles and Responsibilities in AI Management1:13
? AI Manager Toolkit Activity
Return to the One-Page AI Policy and AI Risk Checklist in your toolkit attached to class 1.4. Pay particular attention to the sections dealing with ownership, accountability, monitoring, human oversight, and escalation. Ask yourself: Who would be accountable for this AI system in my organization?
Creating a One-Page AI Policy for Your Team1:54

Is the AI Investment Worth It?1:56
Forming the Business Case7:06
Understanding AI Costs and Benefits2:22
AI ROI and Payback Period2:26
? AI Manager Toolkit Activity
Use the AI ROI and Payback Calculator in your toolkit to apply the concepts from this lecture. Estimate the implementation costs, recurring costs, expected financial benefits, annual net benefit, ROI, and approximate payback period for an AI initiative.
Build, Buy, Subscribe—or Don't Automate?2:12
? AI Manager Toolkit Activity
Return to the AI Business Case Template and complete the Alternatives Considered section. Compare whether your organization should build the solution internally, buy it, subscribe to an external service, improve the existing process, or decide not to automate.
Presenting the AI Business Case to Senior Management2:20
Executive AI Investment Meeting: Approve, Revise or Reject?

AI Transformation Is About People1:55
Creating an AI Adoption Culture Inside Organizations5:54
How to Have Smooth Implementation of Change?3:31
Managing Resistance to Change7:19
? AI Manager Toolkit Activity
AI implementation is also a people-management challenge. Use the People and Change Impact section of your AI Business Case Template and consider what communication, training, support, and change-management actions will be required.
When Employees Fear AI Will Replace Them2:29
Keeping Humans in the Loop2:25
? AI Manager Toolkit Activity
Revisit the Human-vs-AI Decision Checklist in your toolkit. Consider the consequence of errors, need for empathy, ethical sensitivity, explainability, regulatory exposure, and accountability before deciding how much human oversight the AI system requires.

Moving From AI Experiments to Organizational Capability1:54
Governance, Ownership and Accountability3:33
Change Management and Technology Adoption1:43
Integrating AI Management Into Corporate Governance1:21
The Manager's 90-Day AI Implementation Plan2:26
? AI Manager Toolkit Activity
This is where everything comes together. Open the 90-Day AI Implementation Plan in your toolkit. Use Days 1–30 to define and prepare, Days 31–60 to pilot and learn, and Days 61–90 to evaluate, improve, and decide whether the AI initiative should be scaled.
AI for Managers: Risk, Governance and Implementation

Requirements

A basic understanding of business or management concepts.
An interest in using AI.
A willingness to think critically about AI opportunities.
No programming, data science or technical AI experience is required.

Description

“This course contains the use of artificial intelligence.”

Artificial intelligence is transforming how organizations make decisions, manage operations, serve customers and lead their people. But managers do not need to become programmers or data scientists to benefit from AI. They need to understand where AI creates business value, how to use it responsibly and how to make better management decisions with it.

AI for Managers: Strategy, Risk and Business Decisions provides a practical, non-technical approach to AI for managers, business leaders, entrepreneurs and professionals. You will learn how to identify valuable AI opportunities, use data and AI to support decision-making, improve business processes and evaluate where automation makes sense.

The course goes beyond AI tools. You will explore AI risk, ethics, governance, accountability and human oversight, including practical principles drawn from AI management and ISO 42001. You will also learn how to assess AI investments, understand costs and benefits, calculate ROI and payback, and build a convincing AI business case.

Because successful AI transformation is ultimately about people as well as technology, you will discover how to manage employee resistance, address concerns about job displacement, build an AI adoption culture and keep humans appropriately involved in important decisions.

Finally, you will bring everything together through practical frameworks, a 90-day AI implementation plan, an AI decision framework, business scenarios and a management case study.

No programming or technical AI background is required. This course is designed to help you think like an AI-ready manager—someone who can recognize opportunities, challenge assumptions, manage risks and lead AI adoption with confidence and sound business judgment.

Who this course is for:

Managers and team leaders who want to use AI.
Business leaders and executives responsible for strategy, transformation and organizational performance.
Entrepreneurs and business owners exploring practical AI opportunities.
Project, operations and process managers interested in AI-driven improvement and automation.
Finance, HR, sales and other functional managers who want to make better AI-supported decisions.
Professionals involved in digital transformation, risk, governance or change management.
Aspiring managers who want to develop future-focused leadership and AI management skills.
Non-technical professionals who want to understand AI from a practical business and management perspective.

AI for Managers and Business Leaders: Strategy and Risk

What you'll learn

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Course content

Becoming an AI-Ready Manager5 lectures • 13min

AI for Managers: The New Business Reality6 lectures • 19min

From Data to Better Management Decisions6 lectures • 17min

AI Across the Manager's Business5 lectures • 19min

Finding the Right Processes for AI5 lectures • 15min

Managing AI Risk6 lectures • 25min

Responsible AI, Governance and Accountability7 lectures • 12min

Making the Business Case for AI7 lectures • 18min

Leading People Through AI Change6 lectures • 24min

Building an AI-Ready Organization5 lectures • 11min

Requirements

Description

Who this course is for: