Evidence model
Unifies DGA, oil quality, PRPD, SFRA, thermal, inspection, maintenance, and work-order context into transformer records.
GridAPM platform
Agentic AI APM for transformer decisions
GridAPM Ai turns transformer diagnostics, health index movement, lifecycle context, and climate risk into human-reviewed APM decisions for utility, TSO, and DSO teams.
Modules
Built around transformer evidence, not generic asset cards
The platform is organized around the work transformer teams already do: collect evidence, interpret context, review risk, document rationale, and decide the next maintenance or lifecycle action.
Agentic workflow
Bounded AI agents organize evidence, correlate signals, draft rationale, and prepare review packages for engineers.
Health index
Exposes drivers, trend movement, uncertainty, weighting assumptions, and lifecycle context behind condition scores.
Lifecycle context
Connects asset health, loading, aging, maintenance history, environmental exposure, and useful-life planning.
Human review
Engineers approve, reject, or escalate recommendations with traceable comments and accountable decision history.
Reporting
Produces pilot-ready evidence packs for reliability boards, sustainability teams, maintenance planning, and internal review.
Agent workflow
From data to verified APM decisions
GridAPM Ai uses proprietary agentic models trained on transformer evidence to support repeatable steps while keeping approval with engineering teams.
Ingest
Load approved diagnostic files, inspection notes, maintenance records, and operating context.
Correlate
Align evidence by asset, component, date, source, test method, confidence, and operating state.
Reason
Use agentic AI to surface risk drivers, contradictions, lifecycle implications, and review questions.
Verify
Keep engineers in control with evidence links, assumptions, confidence notes, and human signoff.
Recommend
Draft prioritized actions tied to condition, risk, sustainability, and implementation context.
Report
Package rationale, evidence, signoff, and next actions into audit-ready outputs.
Outputs
What a buyer can evaluate
A pilot should make GridAPM tangible: the evidence model, AI rationale, engineer review, sustainability context, and final report should all be visible.
Transformer evidence record with source provenance
Health index driver summary and uncertainty notes
Lifecycle and climate context memo
Human-reviewed recommendation log
Pilot evaluation dashboard
Sample evidence-pack report
Platform FAQ
Questions procurement teams ask first
Is GridAPM Ai a generic dashboard?
No. The platform is designed around power transformer evidence and human-reviewed APM decisions, not generic asset cards or unsupported AI chat.
Does the platform replace transformer engineers?
No. GridAPM Ai supports scoped analysis and reporting tasks. Engineers remain responsible for interpretation, approval, and operational decisions.
Can the platform start with a limited pilot?
Yes. A controlled pilot can start with approved DGA, PRPD, SFRA, inspection, maintenance, or loading records before broader integration.