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 Duration 14 hours

Course Outline

Understanding Agentic AI

  • Defining agentic systems and autonomous workflows.
  • Contrasting agentic AI with traditional automation methods.
  • Reviewing the current landscape and emerging capabilities.

Enterprise Readiness and Use Cases

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

AI-Augmented Workforce Models

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

Governance, Trust, and Risk Management

  • Understanding expectations for transparency and explainability.
  • Addressing operational risks and system reliability.
  • Navigating ethical and regulatory considerations.

Change Management and Adoption Strategies

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

Workflow Integration and Infrastructure

  • Connecting agentic AI to existing business systems.
  • Managing data pipelines and orchestration requirements.
  • Implementing monitoring and lifecycle management practices.

Future Scenarios and Strategic Planning

  • Predicting workplace evolution over the coming decade.
  • Anticipating emerging job categories and capabilities.
  • Applying strategic frameworks for long-term planning.

Summary and Next Steps

Requirements

  • A solid grasp of organizational digital transformation concepts.
  • Practical experience in business process analysis.
  • A baseline familiarity with AI terminology and concepts.

Target Audience

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

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