Trust and responsible AI

Human-reviewed AI for critical transformer decisions

GridAPM Ai is designed for evidence, planning, and reporting workflows where security, explainability, operational boundaries, and engineering accountability matter.

Discuss pilot controls View evidence pack

Principles

Trust is designed into the workflow

GridAPM Ai should make it easier to review what happened, which evidence was used, which assumptions mattered, and which person approved the next action.

Human approval

AI supports review work. Engineers decide, approve, reject, or escalate recommendations.

No autonomous control

GridAPM Ai is positioned for evidence, planning, and reporting workflows, not autonomous transformer control.

Traceable evidence

Recommendations should link back to source records, assumptions, uncertainty, and review state.

Controlled pilots

Evaluation can begin with approved datasets and offline-first workflows before broader integration.

Data minimization

Pilot scope should use only the evidence needed to evaluate the agreed workflow.

Reviewable AI

Agent activity should be logged with rationale, inputs, outputs, and human signoff.

Governance model

Four boundaries every pilot should define

A controlled pilot should clarify data, agent, decision, and audit boundaries before expanding into broader enterprise workflows.

1. Data boundary Define approved sources, sensitivity level, retention expectations, and who can access pilot records.

2. Agent boundary Define which tasks AI agents may perform, which tasks require human approval, and which tasks are out of scope.

3. Decision boundary Separate draft recommendations from approved maintenance actions and capital-planning decisions.

4. Audit boundary Preserve the evidence pack, assumptions, reviewer identity, timestamps, and final decision state.

Trust FAQ

Questions security and engineering teams ask

Does GridAPM Ai control transformer equipment?

No. GridAPM Ai is positioned as human-reviewed APM decision support for evidence organization, reasoning support, recommendation drafting, and reporting.

Can GridAPM be evaluated offline?

A pilot can be scoped around approved datasets and controlled workflows. Deployment details should be reviewed with each operator's security and operational technology requirements.

How does GridAPM handle responsible AI?

The product direction emphasizes bounded agent tasks, visible evidence, uncertainty notes, human approval, audit trails, and conservative claims.