Brief overview of AI:

• What AI can and cannot do.
• Key terminology simplified (AI, ML, NLP, Generative AI).

Why AI matters to organizational leaders:

• Efficiency, Productivity, Innovation

Interactive Activity: Quick poll to assess participants' current comfort level with AI.

Provides a concise but practical overview of various AI platforms. For each platform:

• Brief description of functionality
• Real-world workplace scenarios/examples
• Pros and Cons

Platforms to include:

Generative AI & Content Creation:

• ChatGPT & GPT-4: For content, ideation, summaries.
• Claude 3: Conversational AI for enterprise support.

Visual & Multimedia AI:

• Midjourney/DALL-E: For marketing and visual communication.
• Synthesia: Video content generation and internal communication.

Automation & Workflow Efficiency:

• Zapier/Make.com: Automating routine tasks between apps.
• n8n.io: Agentic workflows & automation.
• UiPath: Robotic Process Automation (RPA).

AI Collaboration and Productivity:

• Microsoft Copilot (Office 365): AI integration within productivity tools.
• Notion AI: Team collaboration and documentation.

Data Insights & Business Intelligence:

• Power BI / Tableau: Data visualization enhanced with AI.
• Google Vertex AI: Cloud-based AI data services.

Interactive Activity: Short demo (live or recorded) showcasing top features of 2-3 key platforms.

Leadership & Strategy:

• Using AI for strategic decision-making and forecasting.

Operations & Process Optimization:

• Reducing operational costs with AI-driven automation.

Marketing & Communication:

• Enhancing creativity and speeding up content delivery.

HR & Employee Development:

• AI-enhanced recruitment, onboarding, and training.

Interactive Activity: Case studies and quick participant discussion on relevance and implementation potential.

• Practical strategies for buy-in and team adoption.
• Step-by-step process to adopt AI platforms.
• Avoiding common pitfalls and managing AI risks.

Interactive Activity: Breakout groups (5-7 min): Participants brainstorm and identify at least one area in their team suitable for AI adoption.

Recap key takeaways
Creating a personalized AI implementation roadmap:

• Immediate next steps post-workshop.
• Identifying consultancy needs for deeper integration.

Interactive Activity: Participants fill a quick template outlining their action plan.

Following the workshop, schedule tailored consultancy sessions with each team to:

• Conduct deeper team-specific needs assessments.
• Match team needs with appropriate AI platforms.
• Develop clear, actionable implementation plans.
• Support initial deployment and offer guidance on evaluating effectiveness.

• What are AI Agents
• Why Do AI Agents Matter in Today’s Workplaces?
• Use Cases of AI Agents

• Fixed Automation Agents
• LLM-Enhanced Agents
• ReAct Agents
• ReAct + RAG Agents
• Tool-Enhanced Agents
• Self-Reflecting Agents
• Memory-Enhanced Agents
• Environment Controllers
• Self-Learning Agents

• Where & When to Use AI Agents
• When Not to Use AI Agents

• Assessment and Understanding of Current Processes
• Defining Strategic Objectives
• Opportunity Identification and Prioritization
• Designing Agentic Workflows and Teams
• Pilot Implementation and Validation
• Enterprise-Wide Integration
• Managing and Optimizing AI Agent Swarms
• Governance, Ethics, and Compliance
• Continuous Monitoring and Strategic Optimization
• 6 Steps for Individual Workers

• Design of a Personal Assistant AI Agent
• From Scratch - Build a Personal Assistant AI Agent

• Question & Answer Session