Developing the Agentic AI Capabilities to Win
AI Governance, Safety, and Ethics for Agentic AI
Workshop
Scale agentic AI responsibly—with governance built in
Agentic AI changes the risk profile because systems can take actions, not just generate outputs. This workshop helps leaders assess the agent risk landscape, define responsible AI principles.
Leave with a governance blueprint—risk model, guardrails, monitoring approach, and operating framework.
The Challenge
As autonomy increases, risks multiply—and inconsistent controls can undermine trust quickly.
- Risks are poorly understood: Teams struggle to assess where agents can cause harm, loss, or compliance exposure.
- Guardrails are uneven: Safety mechanisms vary by team, leading to inconsistent protection and unpredictable behavior.
- Monitoring is insufficient: Without observability, issues are discovered late and lessons aren’t systematically applied.
Without a rigorous governance model, agentic AI becomes difficult to approve, deploy, and scale responsibly.
Our Solution
We guide your team through a practical approach to govern agentic AI with clear standards, controls, and operational oversight.
- Agentic Risk Landscape Assessment: Identify the primary risk categories for agents, mapped to use cases and autonomy levels.
- Responsible AI Principles for Agents: Translate ethical principles into decision criteria and enterprise expectations for agent behavior.
- Safety Mechanisms and Guardrails: Define guardrails for actions, access, approvals, escalation, and safe failure behaviors.
- Monitoring and Observability Requirements: Establish what must be tracked and reviewed to detect issues, validate controls, and improve.
- Governance Framework and Operating Model: Define roles, review processes, documentation expectations, and ongoing assurance practices.
Area of Focus
- Assessing the Risk Landscape for AI Agents
- Exploring Ethical and Responsible AI Principles
- Implementing Safety Mechanisms and Guardrails
- Ensuring Monitoring and Observability
- Establishing a Rigorous Agentic AI Governance Framework
Participants Will
- Identify key risk categories for agentic AI and how they vary by autonomy.
- Define responsible AI principles that translate into practical standards for agent behavior.
- Establish a set of guardrails and control expectations to enable safer deployment.
- Define monitoring and observability requirements that support ongoing oversight and improvement.
- Leave with a governance framework and ownership model to scale agentic AI responsibly.
Who Should Attend:
Solution Essentials
Format
Facilitated working session
Duration
8 hours
Skill Level
Intermediate to Advanced
Tools
Slides, workshop templates, key worksheets, checklists, and collaboration tools.