My Path into AI Strategy
1–10: The Awakening
11–20: The Push for Progress
21–30: Scaling the Conversation
31–40: Orchestrating Complexity
41–50: The Resistance Within
51–60: Turning the Corner
61–70: The Weight of Governance
71–80: Fighting the Invisible Enemy
81–90: The Pressure of Proof
91–100: Passing the Torch
Phase 1: Foundations of AI for Executives (1–10)
Goal: Build executive understanding of what AI is, what it can do, and how it fits within enterprise strategy.
- 1: Why AI Strategy Is the New Business
- 2: Demystifying AI: What Every Executive Needs to Know
- 3: Key AI Technologies: From Machine Learning to Generative AI
- 4: Understanding Data as the Lifeblood of AI
- 5: The AI Value Chain: From Data to Decision
- 6: How to Identify High-Value AI Use Cases in Your Organization
- 7: AI Readiness Assessment: Is Your Organization Prepared?
- 8: Building the Business Case for AI Initiatives
- 9: Common Myths Executives Believe About AI (and How to Fix Them)
- 10: Quick Wins vs. Long-Term Transformation: Choosing the Right AI Path
Phase 2: Building an AI-Ready Organization (11–20)
Goal: Equip leaders with frameworks for governance, culture, and infrastructure.
- 11: Creating an AI Vision Aligned with Business Objectives
- 12: AI Governance: Balancing Innovation with Control
- 13: Data Governance: Ensuring Quality, Access, and Compliance
- 14: The Role of Cloud and Infrastructure in AI Democratization
- 15: AI Ethics and Responsible AI: The Executive’s Role
- 16: Building a Cross-Functional AI Leadership Team
- 17: Upskilling and Reskilling: Preparing Teams for an AI Future
- 18: Designing an Internal AI Center of Excellence (CoE)
- 19: Communicating AI Strategy to the Board and Stakeholders
- 20: How to Foster a Data-Driven, Experiment-Friendly Culture
Phase 3: AI Implementation and Scaling (21–35)
Goal: Transition from concept to deployment — tools, methods, and governance for scaling.
- 21: The AI Project Lifecycle: From Idea to Production
- 22: Agile and Iterative Approaches to AI Deployment
- 23: How to Choose AI Vendors and Partners Strategically
- 24: MLOps and AIOps: The Backbone of Sustainable AI
- 25: Data Integration Challenges and How to Overcome Them
- 26: Measuring Success: KPIs and ROI for AI Initiatives
- 27: Scaling AI Across Business Units: Lessons from Industry Leaders
- 28: AI in Decision-Making: Augmenting Executive Judgment
- 29: AI in Operations: Automating the Enterprise
- 30: Building Internal AI Products vs. Buying Off-the-Shelf Solutions
- 31: The Role of Generative AI in Knowledge Work Transformation
- 32: AI and Cybersecurity: Managing New Risks
- 33: AI Integration with ERP, CRM, and Other Enterprise Systems
- 34: Case Studies: How Leading Organizations Democratize AI
- 35: AI Transformation Pitfalls: What Causes Initiatives to Fail
Phase 4: Future-Proofing and Thought Leadership (36–45)
Goal: Position the organization (and yourself) as a future-ready AI leader.
- 36: AI Strategy Maturity Model: From Experimentation to Institutionalization
- 37: AI Regulation Landscape: What Executives Should Watch
- 38: Sustainability and AI: The ESG Opportunity
- 39: The Economics of AI: Redefining Productivity and Value Creation
- 40: AI-Driven Innovation: Building New Business Models
- 41: The Human Side of AI: Managing Change and Employee Trust
- 42: Collaborating with Academia and Startups: Open Innovation in AI
- 43: From Pilot to Policy: Embedding AI into Corporate DNA
- 44: Executive Playbook: Leading the AI Transformation Agenda
- 45: The Future of AI Leadership: Becoming an AI-Driven Enterprise
AI and the Market
- Reflexive AI: Lessons Learned and a Framework for Adoption
- The “job loss” story misses the point: AI is rewiring how we create value
- The Human Side of AI
- Conviction in the Age of Algorithms
- Governance as a Leadership Superpower
- AI and the Courage to Slow Down
- From Buzzwords to Behavior
- The Mirror Effect: What AI Reveals About Us
- Designing for Trust in a Digital World
- The Space AI Creates
- AI and the Art of Asking Better Questions
- Conviction Over Convenience
- The Ethics Advantage
- Humans + AI = Higher Order Thinking
- Building Cultures That Thrive on Change
- The Leadership Reflex
- AI and the Language of Conviction
- Beyond Automation: Designing for Amplification
- The Future Is Co-Creation
- Leading Through Uncertainty
- The Conviction to Experiment
- AI as a Leadership Teacher
