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 Duration 14 hours

Course Outline

Concepts of Agentic AI

  • Explaining agentic systems and self-directed workflows
  • Distinguishing agentic AI from conventional automation
  • Reviewing the current market landscape and developing features

Organizational Preparedness and Applications

  • Significant use cases across various sectors
  • Analyzing practicality and return on investment (ROI)
  • Core principles for designing agent-driven processes

Workforce Models Enhanced by AI

  • Differentiating task-specific support from complete automation
  • Models for collaboration between humans and AI
  • Reimagining job roles and skill requirements

Governance, Trust, and Risk Oversight

  • Expectations regarding transparency and system explainability
  • Managing operational risks and ensuring system reliability
  • Navigating ethical and regulatory landscapes

Change Management and Implementation Tactics

  • Equipping leadership and teams for AI-led transformation
  • Addressing cultural pushback and facilitating skill shifts
  • Developing AI proficiency across the entire organization

Workflow Integration and Technical Infrastructure

  • Linking agentic AI with current business systems
  • Requirements for data streams and process orchestration
  • Ongoing monitoring and lifecycle administration

Future Outlook and Strategic Planning

  • Projected changes in the workplace over the coming ten years
  • New professional categories and required capabilities
  • Frameworks for long-term strategic planning

Conclusion and Subsequent Actions

Requirements

  • Knowledge of organizational digital transformation
  • Background in business process analysis
  • General familiarity with AI concepts

Target Audience

  • C-suite executives
  • Human resources directors
  • Innovation specialists

Testimonials (3)

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