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 Duration 14 hours

Course Outline

Understanding Agentic AI

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

Enterprise Readiness and Use Cases

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

AI-Augmented Workforce Models

  • Contrasting task-level augmentation with full automation
  • Exploring Human–AI collaboration models
  • Redefining job roles and skill structures

Governance, Trust, and Risk Management

  • Meeting expectations for transparency and explainability
  • Managing operational risks and ensuring system reliability
  • Addressing ethical and regulatory obligations

Change Management and Adoption Strategies

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

Workflow Integration and Infrastructure

  • Integrating agentic AI with existing systems
  • Managing data pipelines and orchestration needs
  • Overseeing monitoring and lifecycle management

Future Scenarios and Strategic Planning

  • Predicting workplace evolution over the next ten years
  • Anticipating new job categories and required capabilities
  • Developing strategic frameworks for long-term planning

Summary and Next Steps

Requirements

  • A solid grasp of organizational digital transformation
  • Practical experience in business process analysis
  • General familiarity with AI terminology

Target Audience

  • Business executives
  • HR leaders
  • Innovation managers

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Testimonials (3)

Provisional Upcoming Courses (Require 5+ participants)

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