Implementing an AI Maturity Plan

Artificial intelligence is no longer a distant frontier it s a present-day imperative for organizations seeking to remain competitive, innovative, and resilient. Yet, successful AI adoption isn t just about deploying technology; it requires a deliberate, phased approach rooted in strategic alignment, organizational readiness, and leadership commitment. Implementing an AI Maturity Plan is an intensive course designed specifically for senior leaders and decision-makers who are ready to take ownership of their organization s AI journey and drive meaningful transformation.

This course goes beyond theory to equip participants with a structured framework for assessing their current AI maturity, identifying strategic enablers and barriers, and crafting a tailored roadmap for progression. It emphasizes the critical pre-work required such as gathering organizational data, aligning leadership, and reviewing existing initiatives so that participants arrive prepared to engage deeply and collaboratively. Through guided exercises, case studies, and peer exchange, leaders will learn how to navigate the four phases of AI maturity, from exploration to realization, and how to lead change across culture, governance, and capability development. The course is designed to challenge assumptions, foster strategic clarity, and empower leaders to build scalable, responsible, and future-ready AI strategies.

1. Understanding AI Maturity
   
   • What AI maturity means and why it matters
   • Overview of the four AI maturity phases
   • Self-assessment: identifying your organization s current phase
2. Exploring the Maturity Journey
   
   • Deep dive into each phase: Exploration, Experimentation, Innovation, Realization
   • Common patterns, barriers, and enablers across phases
3. Strategic Planning and Roadmapping
   
   • Building a tailored AI maturity roadmap
   • Aligning strategy, governance, and resources
   • Managing transitions and scaling AI initiatives
4. Leadership in AI Transformation
   
   • Leading change across culture and capability
   • Communication and trust-building strategies
   • Leadership competencies for each maturity phase
5. Emerging Trends and Continuous Learning
   
   • Key AI technologies and industry trends
   • Creating a sustainable AI learning culture
   • Final action planning and roadmap development

Knowledge Prerequisites:

Participants are expected to have a foundational understanding of:

• Basic digital technology concepts
• Current business technology landscape
• Fundamental understanding of data and digital transformation
• Awareness of emerging technology trends

Recommended Preparation:

• Complete a preliminary AI maturity phase assessment
• Gather organizational data and current AI initiatives
• Prepare specific challenges and questions
• Obtain leadership support and alignment
• Review existing AI-related projects and potential opportunities

Pre-Workshop Expectations - Participants are required to bring:

• Organizational AI initiative overview
• Current technology strategy documents
• Specific AI-related challenges or opportunities
• Willingness to engage in collaborative learning
• Open mindset for strategic innovation

Note: While extensive prior AI knowledge is not mandatory, participants should have a genuine interest in understanding and implementing AI strategies within their organizations. The workshop is designed to be accessible to leaders at various stages of AI understanding, from initial exploration to advanced implementation

Strategic Leaders and Decision-Makers Across Organizational Levels

Ideal Participants Include:

• C-Suite Executives
• Senior Leadership
• Operational Leadership
• Functional Area Leaders
• Cross-Functional Roles
• Emerging Leadership Roles