Navigate AI-driven transformations with confidence.
Empowering Top Management to Shape the AI-Driven Future
The integration of Artificial Intelligence (AI) is rapidly transforming industries, making it imperative for organizations to anticipate, prepare, and strategically adopt AI-driven technologies. This 3-day executive workshop is designed to guide top management through a structured foresight-driven process to explore AI adoption strategies, future scenarios, and actionable implementation roadmaps.
Utilizing IFTF foresight methodologies, this workshop will equip leaders with the tools to identify trends, assess uncertainties, map AI opportunities, and develop strategic plans for sustainable AI integration.
AI Integration Workshop Overview
Day 1: Prepare & Explore AI Futures
Key Objectives:
- Introduce Strategic Foresight & AI Trends
- Understand VUCA-BANI frameworks for uncertainty management
- Identify drivers of change & emerging AI signals
- Utilize Scenario Planning to explore AI’s impact on business models
Key Activities:
- The AI Revolution: A historical and forward-looking analysis
- Scanning the Future: Identifying drivers, weak signals, and trends
- Foresight Tools: Applying IFTF’s “Prepare-Foresight-Insight-Action” framework
- Scenario Mapping Exercise: Exploring best-case, worst-case, and unexpected AI futures
Day 2: Future Scenarios & Business Implications
Key Objectives:
- Develop AI-driven future scenarios
- Assess business model implications & risk factors
- Explore AI ethics, regulatory concerns, and workforce impact
- Analyze case studies of successful AI adoption
Key Activities:
- Building AI Scenarios:
- Scenario 1: AI as a Competitive Advantage (Optimistic)
- Scenario 2: AI Disrupting the Industry (Threat)
- Scenario 3: AI-Augmented Workforce (Transformation)
- Scenario 4: AI Governance & Regulatory Challenges
- Impact Assessment: AI’s effects on operations, leadership, and innovation
- Risk Management: Ethical considerations, compliance, and unintended consequences
- Case Study Analysis: Global AI strategies in leading enterprises
Day 3: Action Planning & Strategic Execution
Key Objectives:
- Define AI adoption roadmaps for organizational implementation
- Identify AI investment priorities and strategic opportunities
- Develop AI governance frameworks
- Build a culture of continuous foresight and adaptability
Key Activities:
- Foresight to Action: Translating insights into concrete AI strategies
- AI Capability Building: Identifying organizational competencies and upskilling needs
- Investment Roadmap: Prioritizing AI initiatives and resource allocation
- Governance & Policy Development: Establishing AI ethics, compliance, and risk frameworks
- Final Workshop Exercise:
- Top Management to define the AI Strategy Roadmap
- Set milestones for AI adoption over the next 5 years
Key Takeaways
- AI is a strategic enabler, not just a technology.
- Foresight-driven methodologies enhance AI planning and decision-making.
- Leadership must balance innovation with ethical and regulatory considerations.
- A structured AI adoption approach ensures long-term competitive advantage.
Next Steps & Follow-up
- Individual AI Implementation Plans for each executive team
- Post-Workshop Advisory Sessions for sustained AI strategy development
- Continuous Foresight Culture: Establishing ongoing AI trend monitoring and strategic recalibration
This workshop will empower top management to confidently navigate AI-driven transformations and position their organization for sustainable growth in the future of AI.
