Agentic AI and the Future of Work Training Course

Understanding Agentic AI

• Defining agentic systems and autonomous workflows for government operations
• Comparing agentic AI to traditional automation methods in the public sector
• Current landscape and emerging capabilities of agentic AI for government use

Enterprise Readiness and Use Cases

• High-impact use cases across various industries, including those relevant to public sector operations
• Evaluating the feasibility and return on investment (ROI) for government agencies
• Design principles for agent-based processes tailored for government applications

AI-Augmented Workforce Models

• Task-level augmentation versus full automation in government roles
• Human–AI teaming models for enhanced public service delivery
• Redefining roles and skill architectures within government agencies

Governance, Trust, and Risk Management

• Transparency and explainability expectations in AI systems for government use
• Operational risk management and system reliability in public sector applications
• Ethical and regulatory considerations for government AI deployments

Change Management and Adoption Strategies

• Preparing leaders and teams for AI-driven transformation in government agencies
• Managing cultural resistance and skill transitions within the public sector
• Building AI literacy across government organizations

Workflow Integration and Infrastructure

• Connecting agentic AI to existing government systems and processes
• Data pipelines and orchestration requirements for government operations
• Monitoring and lifecycle management of AI systems in the public sector

Future Scenarios and Strategic Planning

• Workplace evolution over the next decade, with a focus on government roles
• Emerging job categories and capabilities within government agencies
• Strategic frameworks for long-term planning in AI adoption for government

Summary and Next Steps