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 Duration 14 hours

Course Outline

Understanding Agentic AI

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

Enterprise Readiness and Use Cases

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

AI-Augmented Workforce Models

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

Governance, Trust, and Risk Management

  • Meeting transparency and explainability expectations
  • Addressing operational risk 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 skill transitions
  • Fostering AI literacy throughout the organization

Workflow Integration and Infrastructure

  • Integrating agentic AI with existing systems
  • Managing 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
  • Applying strategic frameworks for long-term planning

Summary and Next Steps

Requirements

  • A solid grasp of organizational digital transformation
  • Practical experience in business process analysis
  • A working knowledge of AI terminology

Target Audience

  • Business executives
  • HR leaders
  • Innovation managers

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