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 Duration 14 hours

Course Outline

Foundations of Agentic AI

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

Enterprise Readiness and Application

  • High-impact use cases across various industries.
  • Evaluating feasibility and return on investment (ROI).
  • Design principles for agent-based processes.

Workforce Models Enhanced by AI

  • Comparing task-level augmentation with full automation.
  • Human–AI teaming models.
  • Redefining roles and skill architectures.

Governance, Trust, and Risk Management

  • Meeting transparency and explainability expectations.
  • Managing operational risks and ensuring system reliability.
  • Addressing ethical and regulatory considerations.

Change Management and Adoption

  • Preparing leaders and teams for AI-driven transformation.
  • Managing cultural resistance and facilitating skill transitions.
  • Building AI literacy across the organization.

Workflow Integration and Infrastructure

  • Integrating agentic AI with existing systems.
  • Understanding data pipelines and orchestration requirements.
  • Implementing monitoring and lifecycle management.

Future Scenarios and Strategic Planning

  • Anticipating workplace evolution over the next decade.
  • Identifying emerging job categories and capabilities.
  • Developing strategic frameworks for long-term planning.

Summary and Next Steps

Requirements

  • A solid grasp of organizational digital transformation.
  • Experience in business process analysis.
  • Familiarity with core AI terminology.

Audience

  • Business executives.
  • HR leaders.
  • Innovation managers.

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