Asset management & finance
Start with the avoided-loss value model, then the pilot plan and the measurement scorecard.
Procurement pack
Everything your review team needs, in one pack.
Scope a controlled GridAPM pilot around approved transformer evidence, local-first deployment, human-reviewed AI, and audit-ready outputs — with the document each reviewer asks for first.
AgenticGrid Pro Transformer APM
The other GridAPM product ProtectionAI Relay testing
Review lanes
Four reviewers, four first reads.
Route each stakeholder straight to the material that answers their questions first.
Procurement
Start with the RFP checklist — PDF for the data room, annotated web version for the working session.
IT / OT security
Start with the deployment boundaries, then how pilot data is handled and the AI governance checklist.
Engineering
Start with the sample evidence pack and the synthetic demo, then the template your pilot deliverable will follow.
Document library
Five documents, ready for your data room.
Each download is audience-labeled and safe to forward: planning aids for pilot review, not certifications.
- Asset management · Finance
Transformer Failure Avoidance Value Model
Scenario worksheet for avoided-loss modeling with buyer-owned assumptions: maintenance and downtime inputs, lead-time exposure, and spill consequence context.
- Procurement
Transformer APM Pilot RFP Checklist
RFP questions covering evidence scope, security posture, human review, data handling, deliverables, and success criteria.
- Security · Governance
Utility Agentic AI Governance Checklist
Source boundaries, prohibited actions, reviewer authority, audit trails, retention, and escalation rules for agentic AI pilots.
- Reliability · Asset management
Transformer CBM Pilot Measurement Scorecard
A non-financial pilot measurement plan: baseline evidence effort, review traceability, and human-approved work-package quality.
- Engineering
Human-Reviewed Transformer Evidence Pack Template
Cover sheet, source provenance table, AI-assist boundary map, review workflow, and audit-ready recommendation page.
RFP language
Copy the questions straight into your RFP.
A practical pilot request defines the transformer population, approved data sources, review roles, security boundaries, output format, and success measures — the checklist walks through all of it.
Transformer AI software RFP checklist
The annotated web version pairs every RFP question with what GridAPM answers: evidence scope, prohibited agent actions, reviewer authority, deliverable format, and how pilot success is measured.
Security & AI governance
The pack security and governance reviewers ask for.
Four review pages describe the same controlled workflow: evidence enters locally, agents draft, a named engineer signs off at stage 4, and every decision lands in the audit trail.
- Intake
- Correlate & quality gate
- Agent reasoning
- Engineer sign-off
- Work package & report
Security and deployment
Local-first pilot posture, approved OpenAI evidence boundaries, and no autonomous OT control.
Open the review page
Data handling
Approved pilot data, source provenance, retention expectations, local storage, and reviewer workflow.
Open the review page
AI governance
Human-reviewed agentic AI, prohibited actions, audit trails, approval gates, and NIST AI RMF context.
Open the review page
Standards references
Official-source context for DGA, substation data, CIM, IBR, harmonics, and AI risk governance.
Open the review page
Client-only planning tool
Pilot Brief Builder
Build a first-pass GridAPM pilot brief from generic readiness factors. Tool inputs stay in the browser and are not uploaded or submitted.
FAQ
Procurement boundaries, stated plainly.
Is this procurement pack legal or compliance advice?
It is a business planning resource for pilot discussions. Your legal, security, procurement, OT, and engineering teams keep final review authority over every document in it.
Does GridAPM claim certifications on this page?
This page describes pilot controls and official-source context. GridAPM claims no certification, standards conformance, autonomous control, or guaranteed outcomes — reviewers can verify every reference at its source.
Can the pilot stay local-first?
Yes. GridAPM runs as a local-first Windows workbench on approved evidence, uses controlled OpenAI assistance, and requires a named engineer to review every AI output before it becomes a deliverable.
Bring a reviewable pilot to the table.
Send the pack to your review team, then scope a controlled pilot with us — your transformers, your evidence, your reviewers.