Implementing an AI Maturity Plan [GK840041]

OVERVIEW

Lead with confidence—build and execute a strategic AI maturity plan for your organization.

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.

OBJECTIVES

Remember (Foundational Knowledge)

• Recall the four phases of AI maturity
• Identify key characteristics of each AI maturity phase
• Recognize fundamental AI technologies and their potential applications

Understand (Comprehension and Interpretation)

• Explain the strategic importance of AI maturity
• Describe the progression between AI maturity phases
• Interpret the impact of AI on organizational strategy
• Summarize the challenges and opportunities in AI adoption

Apply (Practical Implementation)

• Develop a preliminary AI maturity roadmap for their organization
• Create strategies for transitioning between AI maturity phases
• Implement initial AI assessment and planning techniques
• Adapt AI strategies to specific organizational contexts

Analyze (Critical Thinking and Evaluation)

• Compare and contrast different approaches to AI implementation
• Examine the potential risks and benefits of AI adoption
• Evaluate current organizational AI capabilities
• Diagnose barriers to AI integration and innovation

Evaluate (Strategic Decision-Making)

• Assess the potential business value of AI initiatives
• Critique existing AI strategies and implementation approaches
• Judge the readiness of an organization for AI transformation
• Validate AI investment and implementation strategies

Create (Innovation and Strategic Planning)

• Design a comprehensive AI maturity transformation plan
• Construct a forward-looking AI strategy
• Synthesize cross-functional AI implementation approaches
• Propose innovative AI-driven business solutions

AUDIENCE

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

CONTENT

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