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 Duration 14 hours

Course Outline

Foundations of Agentic AI

  • Defining agentic systems and autonomous operational flows
  • Differentiating agentic AI from conventional automation
  • Overview of the current market landscape and emerging capabilities

Enterprise Preparedness and Application Scenarios

  • High-value use cases across various sectors
  • Assessing practicality and return on investment
  • Core principles for designing agent-driven processes

Workforce Models Enhanced by AI

  • Augmenting specific tasks versus achieving full automation
  • Models for effective human-AI collaboration
  • Reshaping job roles and required skill sets

Governance, Trust, and Risk Oversight

  • Setting expectations for transparency and explainability
  • Managing operational risks and ensuring system reliability
  • Navigating ethical and regulatory standards

Change Management and Adoption Pathways

  • Enabling leaders and teams to embrace AI-driven shifts
  • Addressing cultural pushback and facilitating skill transitions
  • Fostering AI literacy throughout the organization

Workflow Integration and Technical Infrastructure

  • Seamlessly linking agentic AI with current systems
  • Requirements for data pipelines and workflow orchestration
  • Ongoing monitoring and lifecycle administration

Future Perspectives and Strategic Roadmaps

  • Anticipating workplace changes over the next ten years
  • Forecasting new job categories and competency demands
  • Developing strategic frameworks for long-term planning

Wrap-up and Actionable Next Steps

Requirements

  • Basic knowledge of organizational digital transformation initiatives
  • Practical experience in business process analysis
  • Familiarity with fundamental AI terminology

Target Audience

  • Senior business leaders
  • Human Resources executives
  • Managers focused on innovation and strategy

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