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Workshop

AI for CEOs

Turn AI from a tool into a competitive advantage: a clear strategy, smarter decisions, governance, and an implementation roadmap.

2 Accredited Hours 1 Days Executive
Start the Course Now Course Details
Executive roadmapAn AI strategy and roadmap for your organization, plus an accredited professional attendance certificate from NAHJ
Program overview

About the program

AI is no longer just a tool for improving daily tasks — it has become a strategic element that shapes how companies are run, how decisions are made, and how competitive advantage is built. The AI for CEOs workshop gives leaders and business owners a practical framework for understanding what AI can do and turning it from a technology into a business advantage. Participants learn how to identify AI opportunities across the organization, analyze data and information, support strategic decisions, improve operations, reduce costs, raise efficiency, and lead the transformation toward a more AI-driven workplace.

  • Understand AI strategically
  • Discover AI opportunities in the company
  • Identify the processes that need improvement
  • Use AI to support decisions
  • Analyze data and information
  • Discover growth opportunities
  • Reduce costs
  • Increase efficiency and productivity
  • Evaluate AI projects
  • Identify risks
  • Lead AI transformation
  • Build an AI strategy
  • Create an actionable roadmap
  • Measure the return on AI investment

Core Program Objective

  • 01Understand AI fundamentals from a business perspective
  • 02Understand AI's impact on the future of companies
  • 03Identify AI opportunities within the organization
Program goals

What will you be able to do after the program?

Understand AI from a leadership and strategic perspective
Identify the top AI opportunities in their company
Build an AI opportunity map
Identify the processes suited to AI
Analyze business problems using AI
Use AI to support decisions
Read and analyze data and information
Spot cost-reduction opportunities
Spot revenue-growth opportunities
Evaluate AI use cases
Prioritize AI projects
Build an AI implementation roadmap
Set up a framework to measure AI results
Lead teams through the AI transformation
The development journey

Before and after the course

Before the Program

  • Unstructured AI adoption without a clear view of strategic impact or automation opportunities.
Learning Journey

After the Program

  • A clear executive view of AI opportunities, priorities, risks, and an initial roadmap.
Target audience

Who is this program for?

Target Audience

CEOs, business owners, entrepreneurs, company founders, managing directors, general managers, executive managers, department heads, senior leaders, and business decision-makers.

Why it fits you

Learning path

The course journey

01
DAY 1

AI Strategy & Business Transformation

AI & The Future of Business • Identifying AI Opportunities

Details
02
DAY 2

AI for Decision-Making, Data & Productivity

Executive Decision-Making • Data & Business Intelligence

Details
03
DAY 3

AI Leadership, Governance & Implementation

Leading AI Transformation • AI Governance

Details
Details

Training content in detail

01

AI & The Future of Business

4 topics

Topics covered

  • How AI is reshaping business models
  • AI through the lens of value and impact
  • Competitive advantage in the AI era
  • Organizational AI readiness

Practical skills

Practical activity: AI Business Readiness AssessmentOrganizational readiness assessmentStrategic thinking
Expected deliverable: A clear assessment of the organization's readiness to adopt AI.

Topics covered

  • Process analysis
  • Automation opportunities
  • Decision and customer-experience opportunities
  • Estimating expected impact

Practical skills

Practical activity: AI Opportunity MappingProcess analysisImpact estimation
Expected deliverable: A map of AI opportunities across the organization.

Topics covered

  • AI use cases by department
  • Real-world market examples
  • Value vs. feasibility assessment
  • Prioritization

Practical skills

Practical activity: AI Use Case PrioritizationUse-case mappingPrioritization
Expected deliverable: A value-ranked list of AI use cases.

Topics covered

  • Aligning AI with business goals
  • Vision and priorities
  • Required resources and capabilities
  • Execution model (Build / Buy / Partner)

Practical skills

Practical activity: Build Your AI StrategyStrategic planningAligning initiatives with business goals
Expected deliverable: An initial AI strategy for the organization.

Topics covered

  • AI's role in decision support
  • Rapid information analysis
  • Scenario analysis
  • Limits of relying on AI for decisions

Practical skills

Practical activity: Executive Decision ChallengeScenario analysisData-informed decision-making
Expected deliverable: An executive decision supported by AI-driven analysis.

Topics covered

  • Turning data into insights
  • Reports and dashboards
  • Forecasting and pattern detection
  • Data quality

Practical skills

Practical activity: Data-to-Decision ExerciseData understandingExtracting insights
Expected deliverable: Turn a dataset into a clear, practical decision.

Topics covered

  • Task automation
  • Workflow design
  • Process optimization
  • Team productivity

Practical skills

Practical activity: Process Optimization ChallengeWorkflow designProcess optimization
Expected deliverable: An executive workflow for improving a selected process.

Topics covered

  • AI in sales and marketing
  • Personalized customer experience
  • New products and services
  • Building a sustainable competitive advantage

Practical skills

Practical activity: AI Growth OpportunityIdentifying growth opportunitiesCompetitive-advantage thinking
Expected deliverable: An AI-powered growth opportunity ready for evaluation.

Topics covered

  • The leader's role in transformation
  • Change management
  • Upskilling teams
  • Building an AI adoption culture

Practical skills

Practical activity: AI Transformation Leadership PlanChange managementLeading adoption
Expected deliverable: A leadership plan for managing AI transformation in the organization.

Topics covered

  • AI governance frameworks
  • Risk management
  • Privacy and compliance
  • Responsible and ethical use

Practical skills

Practical activity: AI Risk AssessmentRisk assessmentGovernance
Expected deliverable: A risk assessment for an AI initiative with mitigation actions.

Topics covered

  • Calculating ROI
  • Key performance indicators (KPIs)
  • Measuring business impact
  • Tracking results

Practical skills

Practical activity: AI ROI FrameworkDefining KPIsImpact measurement
Expected deliverable: A framework for measuring the ROI and impact of AI initiatives.

Topics covered

  • Prioritizing initiatives
  • Quick wins vs. long-term initiatives
  • Timeline and resources
  • Tracking execution

Practical skills

Practical activity: Build Your AI RoadmapPlanningPrioritization
Expected deliverable: An initial AI roadmap for the organization.
Tools and technologies

The tools we will use during the program

ChatGPT

Claude

Gemini

Microsoft Copilot

Data analytics tools

Hands-on practice

Projects and practical work during the program

01
PROJECT

AI Executive Roadmap

Build an initial roadmap for adopting AI in an organization or department.

Work scenario

Define use cases, priorities, success metrics, risks, and implementation steps.

What you will build

AI opportunity map + implementation priorities + roadmap

Final deliverable

AI strategy – Decision making – Automation – Governance

Skills used

غير مطلوب لهذا البرنامج

Tools

غير مطلوب لهذا البرنامج
02
PROJECT

AI Business Readiness Assessment

03
PROJECT

AI Opportunity Mapping

04
PROJECT

AI Use Case Prioritization

05
PROJECT

Build Your AI Strategy

06
PROJECT

Executive Decision Challenge

07
PROJECT

Data-to-Decision Exercise