Implementing an AI Maturity Plan

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

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

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

• GK840036 - AI for the Enterprise