Agentic AI
What does agentic AI cover in AI governance?
3 competencies are filed under it: Agentic AI controls and authorization boundaries, Leading a team that works with AI, Agentic systems engineering. Each has its own page saying what it means in practice.
The competencies filed under it
- Agentic AI controls and authorization boundaries
Governs AI agents that take actions: tool access, least privilege, interruptibility, cascading actions and accountability for what an agent did.
Governance and Oversight
- Leading a team that works with AI
Sets expectations for AI use on a team, reviews AI-assisted work, delegates to agents deliberately and keeps accountability with people.
People and Workforce
- Agentic systems engineering
Designs multi step agent systems: orchestration graphs, tool contracts, memory, interruptibility, and the evaluation of agent behavior before it is allowed to act.
Technical Evaluation
Roles that ask for it
- Operations Manager, AI-ready2 of 3 competencies
- Agentic AI Engineer, orchestration edition2 of 3 competencies
- VP of AI Governance and Ethics2 of 3 competencies
- AI Adoption and Enablement Lead1 of 3 competency
- AI Evaluation Specialist1 of 3 competency
- AI Governance Engineer1 of 3 competency
- AI Security Architect1 of 3 competency
- Senior AI Compliance Analyst1 of 3 competency
- Chief Information Security Officer, AI security focus1 of 3 competency
- Chief Technology Officer, AI engineering edition1 of 3 competency
Where it is taught and graded
48 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 2: AI Fundamentals (1)
- Module 4: Practical AI Workflow Design and Prompt Engineering (1)
- Module 5: Critical Thinking and Context Engineering (1)
- Module 6: AI in the Workplace and Team Leadership (8)
- Module 9: Agentic AI and Workforce Integration (3)
- Module 10: AI Security Fundamentals (2)
- Module 11: Bonus: AI Leadership Accelerator (2)
- Module 0: Taking the Controls (2)
- Module 1: The Agent, Deconstructed (2)
- Module 2: Capability and Autonomy (2)
- Module 3: Bounding by Design (2)
- Module 4: Meaningful Human Accountability (2)
- Module 7: Rollout, Monitoring, and Incident Response (2)
- Module 8: Multi-Agent Governance (2)
- Module 9: End-User Responsibility (1)
- Module 7: Agents Under Command (5)
- Module 17: AI Governance, AI Risk, AI Security, and AI Assurance (2)
- Module 18: Governance, Risk and Compliance Technology, Automation, and Evidence Engineering (2)
- Module 6: Access and the Keys (3)
- Module 9: China, EU, US: The Comparative Playbook (1)
- Module 10: Capstone: Build a China Compliance Program (1)
- Module 9: Risk, Resilience and Frontier AI (1)
Questions
- What does agentic AI cover in AI governance?
- 3 competencies are filed under it: Agentic AI controls and authorization boundaries, Leading a team that works with AI, Agentic systems engineering. Each has its own page saying what it means in practice.
- Which roles ask for agentic AI?
- 10 roles on the map name at least one of its competencies, from analyst seats to executive ones. Each role page lists the depth expected.
- Where is agentic AI taught and graded?
- 48 graded topics teach it across 7 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.