AI governance
NIST AI RMF Context for Human-Reviewed Utility AI
How the NIST AI Risk Management Framework can inform GridAPM pilot governance for local-first, human-reviewed agentic AI in transformer APM.
Public-safe reference GridAPM cites NIST - AI Risk Management Framework for context. This page does not reproduce copyrighted standard text or claim certification.
Why it matters
Use standards context to improve evidence quality.
Critical infrastructure AI should be governed around risk, accountability, traceability, human oversight, and measured deployment scope. NIST AI RMF is useful public context for explaining why GridAPM keeps agentic AI bounded and reviewable.
Named AI workflow purpose, approved data sources, and prohibited actions.
Human review gates before recommendations become reportable decisions.
Audit trail for prompts, sources, draft rationale, edits, approvals, and escalations.
Security, privacy, retention, and data-handling boundaries for controlled pilots.
GridAPM pilot use
Where this reference fits in the workbench.
GridAPM can help utilities evaluate AI-assisted evidence workflows with review gates, provenance, and audit records. The public site should not claim NIST certification or that AI output is final engineering advice.
Next steps
Connect the reference to a pilot workflow.
Use these links to move from standards context into evidence readiness, procurement, security, and pilot scoping.
FAQ
Standards language stays careful.
Does GridAPM claim NIST AI RMF certification?
No. NIST AI RMF is referenced as governance context for risk-aware AI pilots and human-reviewed workflows.
What should agentic AI not do in GridAPM positioning?
It should not be described as autonomously operating grid assets, bypassing engineer approval, or issuing final diagnostic authority.