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 Duration 14 hours

Course Outline

Comprehending Agentic AI

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

Enterprise Readiness and Application Scenarios

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

Workforce Models Enhanced by AI

  • Contrasting task-level augmentation with full-scale automation
  • Exploring models for human–AI collaboration
  • Rethinking job roles and skill architectures

Governance, Trust, and Risk Oversight

  • Meeting expectations for transparency and explainability
  • Addressing operational risks and ensuring system reliability
  • Navigating ethical and regulatory implications

Change Management and Adoption Tactics

  • Equipping leaders and teams for AI-driven transformation
  • Handling cultural resistance and facilitating skill transitions
  • Cultivating AI literacy throughout the organization

Workflow Integration and Infrastructure Setup

  • Linking agentic AI with existing enterprise systems
  • Understanding data pipelines and orchestration needs
  • Implementing monitoring and lifecycle management practices

Future Scenarios and Strategic Planning

  • Forecasting workplace evolution over the coming decade
  • Identifying new job categories and required capabilities
  • Developing strategic frameworks for long-term success

Conclusion and Recommended Next Steps

Requirements

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

Target Audience

  • Business executives
  • HR leaders
  • Innovation managers

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