Course
digicode: AGAIGE
Agentic AI Governance Essentials
Course facts
- Defining Agentic AI and identifying the key risk vectors unique to autonomous systems (e.g., opacity of logic and the accountability void)
- Establishing the foundational structure, including a cross-functional AI governance committee and core ethical principles
- Implementing technical enforcement mechanisms, such as real-time audit logging (Decision Provenance Logs) and building in technical guardrails like the Human Veto Point (HVP)
- Scaling governance enterprise-wide by standardizing tooling, establishing a centralized orchestration platform, and integrating controls into the CI/CD pipeline
- Leveraging governance as a competitive advantage by shifting from oversight to enablement and monetizing trust through external transparency
This course focuses on enabling rapid innovation and accelerating speed-to-market while managing the unique risks presented by AI systems that can make decisions without constant human input.
It is structured around the practical application of the four-phase Agentic AI Governance Maturity Roadmap (Establish, Implement, Scale, Accelerate).
The course uses a blend of presentations, detailed case-study scenarios (Cymbal Health, Cymbal Insurance, etc.), group discussions, a tabletop exercise, and quizzes to ensure effective learning. The real-world examples ensure participants can immediately connect theoretical principles to their own organizational and regulatory challenges.
1 The agentic AI governance imperative
- Defining agentic AI
- The governance gap
- Agentic AI risk
- Introduction the governance maturity roadmap
2 Establish
- Setting strategic vision and accountability
- Business scenario: Cymbal Health
- 6 steps for Establish phase
- Identifying key risk vectors unique to autonomous AI systems
- Establishing accountability and oversight mechanisms
3 Implement
- Building technical enforcement
- Business scenario: Cymbal Insurance
- 6 steps for Implement phase
- Implementing governance frameworks for agentic AI deployments
- Designing controls that balance innovation with risk management
4 Scale
- Embedding governance enterprise-wide
- Business scenario: Cymbal Shops
- 5 steps for Scale phase
- Establish accountability and oversight mechanisms
5 Accelerate
- Leveraging governance for competitive advantage
- Business scenario: Cymbal Fintech
- 5 steps for Accelerate phase
- Design controls that balance innovation with risk management
6 Conclusion and quiz
- Business leaders
- Technical practitioners
- Governance professionals