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 Duration 14 hours

Course Outline

Concepts of Agentic AI

  • Defining agentic systems and autonomous operational flows
  • Distinguishing agentic AI from conventional automation
  • Current market landscape and evolving capabilities

Organizational Preparedness and Applications

  • High-value applications across various sectors
  • Assessing viability and return on investment
  • Core principles for designing agent-based processes

Models for AI-Enhanced Workforces

  • Comparing task-specific augmentation with complete automation
  • Frameworks for human and AI collaboration
  • Reimagining job roles and competency structures

Governance, Reliability, and Risk Control

  • Expectations regarding transparency and explainability
  • Managing operational risks and ensuring system stability
  • Ethical standards and regulatory requirements

Change Leadership and Implementation Strategies

  • Equipping leadership and teams for AI-led change
  • Navigating cultural pushback and facilitating skill shifts
  • Fostering AI competence throughout the organization

System Integration and Technical Infrastructure

  • Linking agentic AI with current operational systems
  • Requirements for data flows and process orchestration
  • Ongoing monitoring and lifecycle oversight

Future Trends and Long-Term Strategy

  • The trajectory of workplace changes over the coming decade
  • New job types and emerging skill sets
  • Strategic models for sustained long-term planning

Wrap-up and Action Plan

Requirements

  • Grasp of organizational digital transformation concepts
  • Background in business process analysis
  • General knowledge of AI terminology

Target Audience

  • Senior business leaders
  • Human Resources directors
  • Managers focused on innovation

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