AI Agents
Agent setup, supervision and guardrails.
Target Audience
Admins and reviewers supervising autonomous or assisted agents.
Prerequisites
- Agent roles and approval permissions assigned.
- Action execution policy approved by compliance.
- Monitoring dashboard access enabled.
Module Positioning
Governed agent orchestration with approval and safety limits.
Priority Use Cases
- Assisted mode recommendations for operators.
- Auto mode for low-risk repetitive actions.
Operating Model
- Approval workflow required for high-impact actions.
- Track action logs and rollback playbook.
KPI
- Agent action approval latency.
- Execution success ratio with zero cross-tenant leak.
Recommended Path
Follow chapters in order to move from configuration to production execution.
1. Agents Overview
Goal: Agents Overview
Agents Overview formalizes a mission-critical standard for this module.
Expected Outcome
After this chapter, the team can standardize "Agents Overview" with measurable controls for governed AI usage.
- Agent portfolio is mapped by business objective.
- Operational evidence is captured for Agents Overview.
Quick Validation
Validate via UI flow and API probe (/api/v1/agents), then confirm expected permissions and logs.
- Each agent has owner, scope and rollback path.
- Run one positive and one negative scenario before sign-off.
- Validate behavior with non-admin permissions.
Risk To Avoid
Do not move to chapter 2 before edge cases and access scope are confirmed for this step.
- Running agents with undefined ownership.
- Skipping audit/log validation for this chapter.
- Promoting to production without rollback path.
2. Create Agent
Goal: Create Agent
Create Agent formalizes a mission-critical standard for this module.
Expected Outcome
After this chapter, the team can standardize "Create Agent" with measurable controls for governed AI usage.
- Agent creation starts from constrained mission statement.
- Operational evidence is captured for Create Agent.
Quick Validation
Validate via UI flow and API probe (/api/v1/agents), then confirm expected permissions and logs.
- Input/output contract and permissions are explicit.
- Run one positive and one negative scenario before sign-off.
- Validate behavior with non-admin permissions.
Risk To Avoid
Do not move to chapter 3 before edge cases and access scope are confirmed for this step.
- Overly broad mission and unrestricted actions.
- Skipping audit/log validation for this chapter.
- Promoting to production without rollback path.
3. Configure Agent
Goal: Configure Agent
Configure Agent formalizes a mission-critical standard for this module.
Expected Outcome
After this chapter, the team can standardize "Configure Agent" with measurable controls for governed AI usage.
- Configuration sets hard limits for execution context.
- Operational evidence is captured for Configure Agent.
Quick Validation
Validate via UI flow and API probe (/api/v1/agents), then confirm expected permissions and logs.
- Allowed tools/actions are whitelisted.
- Run one positive and one negative scenario before sign-off.
- Validate behavior with non-admin permissions.
Risk To Avoid
Do not move to chapter 4 before edge cases and access scope are confirmed for this step.
- Config drift between staging and production.
- Skipping audit/log validation for this chapter.
- Promoting to production without rollback path.
4. Monitoring
Goal: Monitoring
Monitoring formalizes a mission-critical standard for this module.
Expected Outcome
After this chapter, the team can standardize "Monitoring" with measurable controls for governed AI usage.
- Monitoring focuses on behavior drift and risk patterns.
- Operational evidence is captured for Monitoring.
Quick Validation
Validate via UI flow and API probe (/api/v1/agents), then confirm expected permissions and logs.
- Approval latency and failure causes are tracked.
- Run one positive and one negative scenario before sign-off.
- Validate behavior with non-admin permissions.
Risk To Avoid
Do not move to chapter 5 before edge cases and access scope are confirmed for this step.
- Watching volume only, ignoring quality signals.
- Skipping audit/log validation for this chapter.
- Promoting to production without rollback path.
5. Assisted vs Auto Mode
Goal: Assisted vs Auto Mode
Assisted vs Auto Mode formalizes a mission-critical standard for this module.
Expected Outcome
After this chapter, the team can standardize "Assisted vs Auto Mode" with measurable controls for governed AI usage.
- Mode selection matches risk class and maturity.
- Operational evidence is captured for Assisted vs Auto Mode.
Quick Validation
Validate via UI flow and API probe (/api/v1/agents), then confirm expected permissions and logs.
- Escalation from auto to assisted is documented.
- Run one positive and one negative scenario before sign-off.
- Validate behavior with non-admin permissions.
Risk To Avoid
Do not move to chapter 6 before edge cases and access scope are confirmed for this step.
- Using auto mode for high-impact first releases.
- Skipping audit/log validation for this chapter.
- Promoting to production without rollback path.
6. Security & Limits
Goal: Security & Limits
Security & Limits formalizes a mission-critical standard for this module.
Expected Outcome
After this chapter, the team can standardize "Security & Limits" with measurable controls for governed AI usage.
- Security boundaries are enforceable and testable.
- Operational evidence is captured for Security & Limits.
Quick Validation
Validate via UI flow and API probe (/api/v1/agents), then confirm expected permissions and logs.
- Cross-tenant and privilege escalation tests pass.
- Run one positive and one negative scenario before sign-off.
- Validate behavior with non-admin permissions.
Risk To Avoid
Do not move to chapter 7 before edge cases and access scope are confirmed for this step.
- Relying on prompt text as sole security control.
- Skipping audit/log validation for this chapter.
- Promoting to production without rollback path.
Go-live Checklist
- Sensitive permissions are tested with a non-admin account.
- Critical business flows are verified end-to-end.
- Error messages are understandable and actionable.
- An incident runbook exists for this domain.
Success Criteria
- Faster onboarding for a new team.
- No critical action depends on implicit tribal knowledge.
- Support can diagnose an incident in under 15 minutes.