Evidence intake
Load approved DGA, oil, PRPD, SFRA, thermal, inspection, maintenance, work-order, and criticality evidence into a structured pilot record.
Product tour
GridAPM is a local-first, offline-capable Windows workbench concept for controlled transformer APM pilots where AI drafts remain reviewable and engineers stay in control.
Workflow
The tour follows the review path utilities actually need: approved evidence, quality gates, AI assistance, engineering approval, and audit-ready reporting.
Load approved DGA, oil, PRPD, SFRA, thermal, inspection, maintenance, work-order, and criticality evidence into a structured pilot record.
Check source provenance, timestamps, units, asset identity, missing context, and reviewer ownership before AI drafts are trusted.
Use bounded AI to summarize evidence, highlight contradictions, draft questions, and prepare rationale for engineering review.
Approve, edit, reject, or escalate AI output before recommendations become reportable decisions.
Export a pilot-ready package with source links, uncertainty notes, reviewer comments, decision history, and next-step actions.
Modules
GridAPM should be evaluated around the evidence types, review states, and export packages that matter to transformer teams.
Proof path
A strong pilot avoids vague AI claims and makes the workbench visible: source evidence, assumptions, output states, edits, approvals, and gaps.
FAQ
No. GridAPM is positioned publicly as a local-first transformer APM workbench and controlled pilot scaffold. It does not claim autonomous control or final diagnostic authority.
Yes. The public positioning supports local-first and offline-capable evaluation using approved historical evidence before live integrations are considered.
A practical pilot should produce evidence packs, reviewer notes, missing-evidence lists, AI draft rationale, and human-approved work-package context.