COURSE OUTLINE

Day 1: Strategic Vision and Business Impact

Focus: Understanding the "What" and "Where" of AI for the enterprise.

• The 2026 AI Landscape: Current state of the art; understanding the move from Chatbots to Autonomous Agents.
• Demystifying the Tech (for Leaders): A non-technical deep dive into LLMs, Multimodality, and the "Context Window" as a business asset.
• The AI Opportunity Map:
• Customer Experience: Personalized marketing and 24/7 hyper-intelligent support.
• Internal Operations: Automating procurement, legal review, and software development.
• Innovation: Accelerating R&D and product design cycles.
• Cost vs. Value: Analyzing the economics of AI (In-house development vs. API-based solutions vs. Off-the-shelf software).
• Hands-on Strategy Session: Using the AI Value Canvas to map out the top three AI opportunities for your specific department.

Day 2: Governance, Execution, and the Future Roadmap

Focus: Moving from a pilot project to a scaled, responsible AI strategy.

• Data as the Moat: Why your proprietary data is your only long-term defense against competitors using the same AI models.
• Building the AI-Ready Workforce:
• Upskilling vs. Reskilling: Navigating the shift in job roles.
• Fostering an "AI-First" mindset and psychological safety.
• AI Governance & Risk Management:
• Shadow AI: Managing the risks of unapproved AI tool usage by employees.
• Regulatory Compliance: Preparing for the EU AI Act and industry-specific mandates.
• Ethics & Brand Safety: Preventing bias and ensuring "Human-in-the-loop" oversight.
• The AI Transformation Roadmap:
• Phase 1: Experimentation & Quick Wins.
• Phase 2: Operational Integration.
• Phase 3: AI-First Business Model Innovation.
• Executive Capstone: Drafting an AI Manifesto for your organization, outlining the vision, ethical guardrails, and immediate next steps.