ERP Agent Governance in industrial operations.
ERP agent governance is the control model that defines what an ERP AI agent may read, recommend, draft, escalate, retain, trigger, or never do, plus who reviews and approves each action boundary.
A governed Industrial AI glossary entry for ERP Agent Governance, covering operational relevance, source records, ambiguity, engine ownership, and product boundary.
ERP agent governance is the control model that defines what an ERP AI agent may read, recommend, draft, escalate, retain, trigger, or never do, plus who reviews and approves each action boundary.
Use-case review, data-access review, authority-level assignment, denied-action definition, evidence review, owner approval, audit monitoring, and periodic reassessment.
Agent identity, tool list, permissions, denied actions, human owner, escalation path, source evidence, confidence tier, audit event, and incident record.
Governance is not a slide or policy label; it requires action-specific boundaries and evidence.
A maintenance planning agent is approved to retrieve work-order evidence and draft a review summary, but blocked from creating or closing work orders.
GovernanceMind AI maps ERP agent governance to evidence, confidence, owner review, and audit trail controls.
Product boundary: The term does not certify compliance or approve production agent autonomy.
Glossary pages are reference entries. They support diagnostic evaluation, but the operating decision still depends on source data, confidence tiers, and accountable owner review.
This public definition is governed by the AI2COE Knowledge Dictionary and should be interpreted alongside the Industrial AI Readiness framework, assessment methodology, and evidence standards.
Use ERP Agent Governance as a governed reference term, then check the source records, confidence tier, and owner review state before treating it as operational evidence.
Relevant records include: Agent identity, tool list, permissions, denied actions, human owner, escalation path, source evidence, confidence tier, audit event, and incident record. The reviewer must also check source context, field meaning, and the stated ambiguity before action.
Governance is not a slide or policy label; it requires action-specific boundaries and evidence.
GovernanceMind AI is the primary engine. Supporting engines are used only when their evidence is substantively relevant: ReadyMind AI.
The term does not certify compliance or approve production agent autonomy.