AI decisions are business decisions, not just technology decisions. Leaders need to understand where AI can create value, what risks and controls matter, how to evaluate proposals and how to keep human accountability clear. This course builds that decision-making capability without requiring a technical background.

Course Overview

The AI for Business Leaders program is a non-technical, strategically focused course for senior managers, directors, and C-suite executives who need to understand AI well enough to lead their organizations through its adoption, without needing to become data scientists or engineers. The program covers what AI actually is, how it creates and destroys business value, how to build an AI strategy, how to govern AI responsibly, and how to lead the human and organizational change that AI adoption requires.

The program is deliberately non-technical. There is no coding, no mathematics, and no assumption of prior AI knowledge. What it demands is strategic thinking, leadership judgment, and the willingness to engage seriously with a technology that is reshaping every industry in the GCC, Africa, and globally.

Available as an instructor-led classroom course, as a fully live online program, and as a customized in-house program. Every format is live and interactive. There are no pre-recorded sessions.

Course decision snapshot

Is this the right development fit?

Live, instructor-led and adaptable to context

Best fit

Senior managers, directors and executives responsible for AI-related business decisions

Delivery

Live classroom, live online, or private in-house delivery

Built around

AI opportunity, prioritization, governance, risk, operating model and leadership judgement

Take back to work

A leadership framework for deciding where AI belongs, how to govern it and how to scale it

Who Delivers This Program

Programs are delivered by subject-matter practitioners selected for relevance to the topic, audience level, and delivery context. For private and in-house cohorts, facilitator matching considers the organization’s industry and participant profile. A facilitator biography can be provided when a cohort is confirmed.

How We Make This Relevant to You Specifically

Our standard design process uses a short pre-course profile covering each participant’s role, industry, current challenges, and objectives. Facilitators use those profiles to calibrate examples, discussion, and exercises to the people in the room. For in-house programs, organizational priorities are also reviewed with the program sponsor before delivery.

What You Will Learn

Understand AI well enough to lead it
Develop a clear, accurate understanding of what AI is, what its current capabilities and limitations are, and where it is heading over the next three to five years.

Identify AI value opportunities in your organization
Apply a structured framework to identify where AI can create genuine value in your specific business context and prioritize deployment accordingly.

Build an AI strategy
Develop a coherent organizational AI strategy that aligns with business objectives, is realistic about capability and risk, and provides a clear roadmap for implementation.

Govern AI responsibly
Establish the governance structures, policies, and oversight mechanisms that manage AI risk while enabling innovation and competitive deployment.

Lead AI-driven workforce change
Navigate the human and organizational implications of AI adoption, including workforce redesign, reskilling, and the cultural change that AI requires.

Ask the right questions of your AI team
Challenge AI recommendations, understand AI outputs, and hold technical teams accountable without needing to understand the mathematics behind the models.

Evaluate AI vendors and partnerships
Assess AI vendor proposals, evaluate build vs buy decisions, and structure AI partnerships that protect organizational interests.

Understand AI in the Gulf and African context
Navigate the specific AI regulatory environment, national AI strategies, and market dynamics of the GCC and major African economies.

Framework at a glance

The AI leadership decision path

PrioritizeSeparate useful AI opportunities from technology noise.

GovernSet ownership, risk controls and decision boundaries.

ScaleMove from isolated pilots to repeatable business capability.

Capability journey

How the learning moves from insight to application

The sequence is adapted to the participant group and delivery context, while keeping the focus on practical application.

Understand the real opportunity

Prioritize business use cases

Govern risk and accountability

Lead adoption and scale

Course Outline

Module 1: What AI Actually Is

A clear, jargon-free explanation of artificial intelligence, machine learning, large language models, generative AI, and related technologies. What they can do, what they cannot do, and the gap between the hype and the reality. The AI landscape as it stands today and where it is heading.

Module 2: How AI Creates and Destroys Business Value

The business models AI enables. Where AI delivers genuine competitive advantage and where it is commoditized infrastructure. First-mover advantage vs fast-follower strategy in AI adoption. The risks of AI: reputational, operational, legal, and strategic. How AI is reshaping competitive dynamics across key industries.

Module 3: Identifying AI Opportunities in Your Organization

A structured framework for mapping AI value opportunities across the value chain. Prioritizing AI use cases by value, feasibility, and risk. Quick wins vs strategic AI investments. Data readiness: understanding what your organization needs before AI can deliver value. Workshop: mapping AI opportunities in your specific business.

Module 4: Building an Organizational AI Strategy

The components of an effective AI strategy. Aligning AI investment to business objectives. Build vs buy vs partner decisions. Data strategy as the foundation of AI capability. Sequencing AI adoption: where to start and how to scale. Making the board-level case for AI investment.

Module 5: AI Governance, Ethics, and Risk

The ethical dimensions of AI: bias, fairness, transparency, and accountability. Regulatory landscape: global AI regulation, EU AI Act, and emerging Gulf and African AI governance frameworks. Building an organizational AI governance structure. Managing AI risk at board level. What responsible AI actually means in practice.

Module 6: AI and the Workforce

What AI will and will not replace. Augmentation vs automation: redesigning work rather than simply cutting headcount. The reskilling challenge: what capabilities your workforce needs to work alongside AI effectively. Managing the human impact of AI adoption. Communicating AI change to employees without creating panic.

Module 7: AI in the Gulf and Africa

National AI strategies in Saudi Arabia, UAE, and across the GCC. AI investment priorities within Vision 2030. The African AI landscape: opportunities, constraints, and emerging leaders. Data sovereignty, localization requirements, and regulatory considerations specific to these markets. Case studies from regional AI adoption.

Module 8: Leading an AI-Ready Organization

The cultural and leadership conditions that enable successful AI adoption. Building AI literacy across the organization. Attracting and retaining AI talent. The leader’s role in setting the tone for responsible and ambitious AI use. Avoiding the common leadership mistakes that derail AI programs.

Module 9: Your AI Leadership Action Plan

Building a concrete AI strategy outline and leadership action plan for your organization, with peer review and certificate of completion.

What This Program Helps Your Organization Improve

The organizational value comes from better AI decisions: clearer use cases, stronger governance, more realistic business cases and better alignment between leadership, operational teams and technical specialists.

Better evaluation and prioritization of AI opportunities
Clearer ownership of risk, governance and human oversight
Stronger business cases grounded in operational value
More productive collaboration between business and technical teams
More disciplined decisions about adoption, controls and scale

Who Should Attend

C-suite executives and board members who need to understand and govern AI without becoming technical experts

Senior managers and directors responsible for AI strategy or adoption decisions

HR and L&D leaders building organizational AI capability

Government and public sector leaders navigating national AI strategy implementation

Business leaders who feel they are falling behind on AI and want to close the gap quickly

No technical background required or assumed. Participants from all industries welcome. Delivered in English. Arabic delivery available for in-house programs on request.

Applied toolkit

What you can take back to work

The emphasis is on usable work products, not notes alone. Exact outputs are adapted to the participant group and delivery context.

TOOL 1

AI use-case prioritization matrix

TOOL 2

AI governance checklist

TOOL 3

Build-buy-partner decision canvas

TOOL 4

AI leadership roadmap

Need this adapted to your team?

Turn the course into a private capability-building program

We can calibrate the examples, scenarios, emphasis and delivery structure around your participant group, organization and business priorities.

Discuss a Cohort In-House Training

Choose the delivery model

Same capability focus, different delivery context

Program depth, schedule and examples are calibrated to the cohort and delivery environment rather than forced into one universal duration.

🏫

Live ClassroomFacilitated face to face with discussion, practice, peer exchange and applied workshop time.

💻

Live OnlineFully live and instructor-led, with interaction and practice rather than pre-recorded self-study.

🏢

Private / In-HouseAdapted to your organization, participant profile, scenarios, priorities and operational constraints.

Delivery Format

In-Person Classroom

Daily timetable confirmed for each scheduled session
Cohort size confirmed for each scheduled session
Public classroom cohorts when dates are confirmed
Materials and workbook included

Live Online

Live instructor-led, never pre-recorded
Flexible time-zone scheduling
Fully interactive with breakout groups
Same outcomes and certificate as classroom

In-House / Corporate: Delivered for your leadership team anywhere in the world, calibrated to your industry and AI maturity. Request a proposal.

Pricing

The public-course fees shown below apply to the currently configured offering in Saudi Arabia and the GCC. Program length and structure may vary by cohort and delivery context; confirmed session details are shown when dates are scheduled.

Public fees exclude VAT or other applicable taxes.

$3,950

Per delegate
Individual booking

$3,358

Per delegate
3 delegates (15% off)

$3,292

Per delegate
6 delegates (pay for 5)

Fees include all materials, workbook, and certificate. For venues outside the GCC, request a location-specific fee and availability confirmation. For in-house delivery, contact us for a proposal.

Apply the Leadership Framework to GCC AI Adoption

Tools alone do not create organizational capability. Executive sponsors also need a clear approach to data readiness, workforce preparation, governance, vendor decisions and practical adoption measures.

Read our GCC AI adoption challenges guide for the implementation questions to address before scaling a program. For a private leadership cohort, describe your participants, sector and current AI priorities.

Research sources cited on this page:
McKinsey Global Institute, The economic potential of generative AI
Strategy& Middle East, Desert mirages to digital realities

Upcoming Dates & Venues

No sessions currently scheduled.
Request course availability with your preferred date, location and group size. We will confirm available public-session and private-team options before any booking or payment.

AI for Business Leaders