• Why GenAI is more than just a tech trend?
• The new strategic imperative for leadership
• What we’ll cover today and why it matters

 Set the tone with stories, industry shifts, and a bit of inspiration

• Understanding AI, ML, and Deep Learning in business terms
• Common techniques: prediction, classification, NLP, vision
• How machines learn: A simple mental model
• Myths, hype vs. reality

Analogies + real-life examples that leaders can relate to

• AI archetypes: recommendation engines, decision support, automation, etc.
• Where businesses are applying AI today
• Function-wise use cases (Marketing, HR, Ops, CX, Legal)
• Signals for identifying generative AI opportunities in your organisation

Mini case spotlights with commentary

• What is generative AI and how it works
• LLMs, transformers, diffusion models (explained simply)
• What can generative AI accomplish, and where does it fall short?
• Limitations, risks, hallucinations

Live generative AI demo: What’s possible with a great prompt?

• The power of the prompt: how to think, write, and iterate
• Prompt types: task, role, context, constraint-based
• Prompting for insights, creativity, and operations
• Prompt quality = Output quality

Before-and-after prompt demos with commentary

• Retrieval-Augmented Generation (RAG) explained
• Agentic workflows and autonomous systems
• Knowledge bots, copilots, smart email assistants
• How these systems are structured (non-technical view)

Visual walkthroughs + mini case demos

• Industry-specific examples and stories
• What’s working, what’s not
• Security, risks, compliance, and the role of human oversight
• Framework for evaluating Generative AI suitability

Use case gallery with actionable insights

• Building your Generative AI strategy
• Adoption models: build, buy, partner
• Talent, tools, and governance
• The AI maturity curve for leaders