Get in Touch
 Duration 14 hours

Course Outline

Comprehending Agentic AI

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

Enterprise Preparedness and Practical Applications

  • Identifying high-impact use cases across various sectors
  • Assessing feasibility and return on investment
  • Establishing design principles for agent-based processes

AI-Enhanced Workforce Models

  • Contrasting task-level augmentation with full automation
  • Examining human-AI collaboration models
  • Redefining job roles and skill architectures

Governance, Trust, and Risk Oversight

  • Setting expectations for transparency and explainability
  • Addressing operational risks and system reliability
  • Considering ethical and regulatory implications

Change Management and Adoption Roadmaps

  • Preparing leadership and teams for AI-driven change
  • Navigating cultural resistance and skill transitions
  • Cultivating AI literacy throughout the organization

Workflow Integration and Technical Infrastructure

  • Integrating agentic AI with existing systems
  • Understanding data pipeline and orchestration needs
  • Implementing monitoring and lifecycle management

Future Outlook and Strategic Planning

  • Projecting workplace evolution over the next ten years
  • Identifying emerging job categories and required capabilities
  • Developing strategic frameworks for long-term planning

Recap and Action Items

Requirements

  • Basic knowledge of organizational digital transformation
  • Practical experience in business process analysis
  • General familiarity with AI concepts and terminology

Target Audience

  • Business executives
  • Human Resources leaders
  • Innovation managers

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories