Observability & Evaluation · Data artifact

Operational Runbook

Data artifactObservability & EvaluationObservability & Evaluationarc:OperationalRunbook

A documented diagnosis-and-mitigation procedure for a recurring operational issue, such as high latency or high error rate, that branches by bottleneck or error type to specific checks and actions.

Responsibility. Prescribes diagnosis steps and mitigations for a known issue type.

Also known as: Runbook, Documented procedures, AI incident response procedure, Incident response plan

configures; is read byIncident Manager: configures; is read byIncident Manager
Direct neighbourhood (hover for relationship types)

Relationships

configures structural

is read by dependency

Design guidance

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Runbook-driven incident response
Technologies
LangSmith
Quality attributes
Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)Maintainability (ISO/IEC 25010)
Risks mitigated
Slow, ad-hoc incident diagnosis
Frameworks & regulations
NIST AI RMF: MANAGEISO/IEC 42001 Annex A: incident management controls

Sources

  1. Ch9.8: T. Nguyen, "Standards and Frameworks for AI Governance," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.8. ISBN: 9798244538229.
  2. Ref8.06: "Error Troubleshooting and Incident Response for Agent Systems," unpublished reference note (06-Error-Troubleshooting-Incident-Response.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
  3. Ref9.08: "Safety Incident Response for AI Systems," unpublished reference note (08-Safety-Incident-Response.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
  4. Ref9.10: "Chapter 9 Summary: Safety, Ethics, and Compliance," unpublished reference note (10-Chapter-9-Summary.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note