OVERVIEW

Generative AI is no longer optional—it’s a leadership imperative. This masterclass equips senior leaders with the mindset, frameworks, and practical AI fluency to drive responsible adoption, unlock strategic advantage, and lead teams through transformation with confidence.

Rather than focusing on technical mechanics, this program positions AI as a strategic lever—helping leaders ask better questions, make faster decisions, and govern wisely. Participants will learn to use AI not as a novelty, but as a co-pilot for leadership judgment.

Built on real-world applications across marketing, HR, operations, and governance, this masterclass blends vision, ethics, and execution—with hands-on experience using AI tools that deliver executive value.

LEARNING OUTCOMES

          By the end of this masterclass, leaders will be able to:

1. Frame AI as a strategic asset—aligned with business goals and team capabilities.
2. Use strategic prompting to generate insights, evaluate options, and draft leadership communications.
3. Select and deploy high-impact AI tools for intelligence, planning, and decision support.
4. Establish clear governance—balancing speed, security, compliance, and ethics.
5. Lead AI-fluent teams through change, upskilling, and role evolution.

COURSE OUTLINE

Day 1: Vision, Opportunity & Strategic Prompting

Module 1: The AI Leadership Imperative

• Beyond automation: How GenAI reshapes strategy, talent, and customer value
• Real-world impact: What’s working (and what’s not) in leading organizations
• The cost of inaction: Competitive, operational, and talent risks
• Your role as an AI orchestrator—not just an end user

Module 2: Thinking with AI – The Leader’s Prompting Toolkit

• Why your prompt defines the quality of your insights
• The 4 strategic prompt types for leaders:
• Diagnostic: “What’s slowing down our campaign approvals?”
• Exploratory: “What emerging regulatory trends should we watch in Q3?”
• Generative: “Draft a leadership message for our AI transition.”
• Evaluative: “Critique this vendor proposal for hidden risks.”
• Techniques: constraint-setting, persona-based framing, iterative refinement
• Hands-on: Leaders apply strategic prompts to their current challenges

Module 3: Mapping High-Value AI Opportunities

• From noise to signal: Identifying where AI creates real value in your function
• Opportunity matrix:
• Efficiency (e.g., report automation, meeting synthesis)
• Insight (e.g., market sensing, sentiment analysis)
• Innovation (e.g., new service models, personalized engagement)
• Prioritization framework: Impact vs. Feasibility vs. Risk
• Activity: Build your department’s AI Opportunity Map

Featured Tools: Perplexity AI, Consensus, Scite, ChatGPT, Gemini, QWEN

Day 2: Governance, Talent & Scaling with Confidence

Module 4: Ethical Governance & Risk Intelligence

• Top leadership risks: data leakage, IP exposure, bias amplification, reputational harm
• Building your AI Governance Charter:
• Approved tool list & use-case boundaries
• Data classification & handling protocols
• Human-in-the-loop requirements
• Aligning with global standards (GDPR)
• Tool demo: Use AI to draft your team’s AI policy using strategic prompts

Featured Tools: ChatGPT, Gemini

Module 5: Leading AI-Fluent Teams Through Change

• Redefining work: From task execution to AI collaboration & validation
• Upskilling strategies that stick: micro-learning, prompt libraries, peer coaching
• Creating psychological safety for experimentation
• Coaching teams through ambiguity and “AI anxiety”
• Activity: Craft your 30-day team readiness plan

Featured Tools: Gamma, Beautiful.ai, Napkin AI

Module 6: Measuring Impact & Scaling Responsibly

• Moving beyond “cool demos” to measurable outcomes
• Defining KPIs: time saved, decision quality, innovation velocity, employee adoption
• Avoiding pilot purgatory: integration into core workflows
• Building feedback loops for continuous improvement
• Capstone Exercise:
• Use AI to draft your AI Adoption Roadmap
• Include: vision statement, 3 use cases, governance guardrails, team plan, and success metrics
• Present and peer-review in small groups

Featured Tools: Perplexity Pro, Qwen, DeepSeek, Copilot (for research + synthesis)

METHODOLOGY

• Interactive leadership briefings on AI-driven transformation in organisations
• Facilitator-led discussions on strategic thinking and AI adoption in leadership
•  Case study analysis on companies using AI for decision-making and operations
• Scenario-based leadership exercises on real workplace challenges
• Group discussions on change management, innovation, and digital culture
• Practical activities on aligning AI tools with business strategy and team performance
• Leadership action planning workshop with feedback and refinement sessions