| Date | Venue | Fees | |
|---|---|---|---|
| 21 - 25 Sep 2026 | Riyadh - Saudi Arabia | $ 5,950 | |
| 22 - 26 Nov 2026 | Riyadh - Saudi Arabia | $ 5,950 |
Introduction
This AI-Driven Business Transformation & Strategy training course is designed to help leaders understand how Artificial Intelligence (AI) is reshaping business models, operational frameworks, and strategic decision-making. Organisations across industries are adopting AI technologies to enhance efficiency, improve customer experience, optimise processes, and create new revenue streams. To remain competitive, leaders must understand how to align AI initiatives with organisational strategy and transformation objectives.
This training course provides a structured approach to AI-enabled transformation, focusing on strategy development, operating model redesign, governance frameworks, and implementation planning. Participants will explore how AI can drive innovation, support data-driven decision-making, and improve organisational agility. By the end of this training course, participants will be able to design AI transformation roadmaps, evaluate AI opportunities, and lead strategic initiatives that deliver measurable business value.
This GLOMACS AI-Driven Business Transformation & Strategy training course will highlight:
- Role of Artificial Intelligence in business transformation
- AI-driven strategy development and decision-making
- Operating model redesign using AI capabilities
- Governance and risk considerations for AI adoption
- Implementation roadmaps for AI-enabled transformation
Objectives
At the end of this AI-Driven Business Transformation & Strategy training course, you will learn to:
- Understand Artificial Intelligence applications in business transformation
- Develop AI-aligned business strategy frameworks
- Evaluate AI opportunities across business functions
- Design transformation roadmaps using AI capabilities
- Strengthen governance and risk management in AI initiatives
Training Methodology
This AI-Driven Business Transformation & Strategy training course adopts a strategic and application-focused methodology that combines structured transformation frameworks, AI strategy evaluation exercises, and guided organisational analysis. Participants examine how AI technologies influence business models, operational structures, and decision-making processes. Facilitated discussions focus on identifying transformation opportunities, prioritising AI initiatives, and aligning implementation with organisational objectives. The methodology also includes structured scenario analysis, collaborative planning exercises, and development of an AI-driven transformation roadmap to ensure participants can apply learning within their organisational environment.
Organisational Impact
This AI-Driven Business Transformation & Strategy training course will enable organisations to:
- Accelerate digital and AI-driven business transformation
- Improve strategic decision-making using data-driven insights
- Enhance operational efficiency and productivity
- Identify new revenue opportunities through AI innovation
- Strengthen governance and risk management for AI adoption
- Build sustainable competitive advantage through AI strategy
Personal Impact
Participants will develop:
- Strategic understanding of AI-driven business transformation
- Enhanced capability to evaluate AI opportunities
- Stronger decision-making using data and analytics
- Greater confidence in leading transformation initiatives
- Improved alignment between strategy and technology adoption
- Future-ready leadership skills in AI-enabled environments
Who should Attend?
This GLOMACS AI-Driven Business Transformation & Strategy training course is suitable for professionals involved in strategy, transformation, and leadership decision-making, including:
- Senior Executives and Business Leaders
- Strategy and Transformation Managers
- Digital Transformation Leaders
- Operations and Business Unit Managers
- Innovation and Technology Leaders
- Professionals responsible for organisational change initiatives
Foundations of AI-Driven Business Transformation
- Introduction to Artificial Intelligence in business strategy
- AI capabilities and business value creation
- Impact of AI on business models and operating structures
- Identifying transformation opportunities using AI
- Aligning AI initiatives with organisational objectives
- Assessing organisational readiness for AI adoption
AI Strategy Development and Value Identification
- AI strategy frameworks and strategic alignment
- Identifying high-impact AI use cases
- Prioritising AI initiatives based on value and feasibility
- Cost-benefit analysis for AI transformation projects
- Building AI-enabled value propositions
- Stakeholder alignment for AI strategy
Operating Model Redesign and Process Transformation
- Redesigning business processes using AI capabilities
- Automation and intelligent decision support systems
- AI-driven customer experience transformation
- Workforce transformation and capability development
- Data-driven operating model design
- Managing organisational change during AI adoption
Governance, Risk, and Implementation Planning
- Governance frameworks for AI initiatives
- Managing ethical and regulatory considerations
- Risk assessment in AI transformation projects
- Data governance and compliance requirements
- Implementation planning and roadmap development
- Measuring transformation success and performance indicators
Leading AI Transformation and Sustaining Value
- Leadership roles in AI-driven transformation
- Building a culture of innovation and data-driven decision-making
- Scaling AI initiatives across the organisation
- Continuous improvement using AI insights
- Developing AI transformation action plans
- Future trends in AI-driven business strategy
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
Endorsed Education Provider
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