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 Duration 14 hours

Course Outline

Foundations of Agentic AI

  • Defining agentic systems and autonomous workflows
  • Distinguishing agentic AI from conventional automation
  • Reviewing the current landscape and emerging capabilities

Enterprise Readiness and Application

  • Examining high-impact use cases across various industries
  • Assessing feasibility and return on investment (ROI)
  • Establishing design principles for agent-based processes

Workforce Models Enhanced by AI

  • Comparing task-level augmentation with full automation
  • Exploring human–AI teaming models
  • Reimagining roles and skill architectures

Governance, Trust, and Risk Management

  • Addressing expectations for transparency and explainability
  • Managing operational risks and ensuring system reliability
  • Navigating ethical and regulatory considerations

Change Management and Adoption

  • Empowering leaders and teams to navigate AI-driven transformation
  • Mitigating cultural resistance and managing skill transitions
  • Fostering AI literacy across the organization

Workflow Integration and Infrastructure

  • Integrating agentic AI with existing systems
  • Addressing data pipeline and orchestration needs
  • Implementing monitoring and lifecycle management

Future Scenarios and Strategic Planning

  • Predicting workplace evolution over the coming decade
  • Identifying emerging job categories and required capabilities
  • Developing strategic frameworks for long-term planning

Conclusion and Actionable Next Steps

Requirements

  • A solid understanding of organizational digital transformation
  • Practical experience in business process analysis
  • Familiarity with core AI terminology

Target Audience

  • Business executives
  • HR leaders
  • Innovation managers

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