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 Duration 14 hours

Course Outline

Foundations of Agentic AI

  • Defining agentic systems and the concept of autonomous workflows
  • Differentiating agentic AI from conventional automation
  • Overview of the current landscape and evolving capabilities

Preparing the Enterprise: Readiness and Applications

  • Identifying high-value use cases across various sectors
  • Assessing feasibility and return on investment
  • Key design principles for implementing agent-based processes

Workforce Models Enhanced by AI

  • Comparing task-specific augmentation with full automation
  • Exploring models for human-AI collaboration
  • Rethinking job roles and skill frameworks

Governance, Trust, and Risk Oversight

  • Expectations for transparency and explainability
  • Managing operational risks and ensuring system reliability
  • Navigating ethical standards and regulatory requirements

Driving Change and Adoption

  • Guiding leaders and teams through AI-driven transformation
  • Addressing cultural resistance and managing skill transitions
  • Cultivating AI literacy throughout the organization

Integration and Infrastructure

  • Aligning agentic AI with existing business systems
  • Requirements for data pipelines and workflow orchestration
  • Monitoring performance and managing the system lifecycle

Looking Ahead: Scenarios and Strategy

  • Predicting workplace trends for the coming decade
  • Anticipating new job categories and required capabilities
  • Developing strategic frameworks for long-term planning

Conclusion and Recommended Next Steps

Requirements

  • A solid grasp of organizational digital transformation
  • Practical experience in business process analysis
  • Basic familiarity with AI-related terminology

Target Audience

  • Senior business executives
  • Human resources leaders
  • Innovation managers

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