Interactive tool
Utility Data Contract Mapper
Map whether CIM, IEC 61850, CMMS/EAM, historian, SCADA/EMS, and transformer evidence sources are ready for a bounded agentic AI data-contract pilot.
GridAPM use case
CMMS and EAM Transformer Handoffs
Use-case page for transformer APM teams that need to move condition evidence, AI draft rationale, and reviewer decisions into CMMS/EAM maintenance workflows without losing traceability.
Utility supply
Main transformer — critical
Process bus
Motor loads
- Focus
- CMMS EAM transformer handoff
- Audience
- CMMS/EAM owners, maintenance planners, asset managers, transformer engineers, technical support, and operations teams
Best for controlled pilots where AI assists evidence assembly and draft rationale, while engineers keep final authority.
Where teams get stuck
Evidence, responsibility, and handoff quality decide whether AI is useful.
GridAPM use cases are intentionally practical. They start with a narrow workflow, approved sources, named reviewers, and audit-ready output rather than unsupported autonomous decision claims.
- Thin work orders
- Work orders rarely carry the full diagnostic rationale, source provenance, and reviewer confidence behind a transformer decision.
- CBM slips to time-based
- Condition-based maintenance can fall back to time-based habits when evidence is hard to package for planners.
- Unanchored AI text
- AI-generated text is risky when it is not connected to approved sources and human approval states.
How GridAPM helps
Local-first APM workflows keep the evidence trail visible.
GridAPM can help utilities evaluate human-reviewed agentic AI for transformer APM, CBM, maintenance planning, and resilience workflows without handing final engineering decisions to software.
- Evidence-to-field bridge
- Create a review-ready bridge between transformer evidence and maintenance handoff fields.
- Drafts distinct from decisions
- Keep AI draft rationale separate from approved reviewer decisions.
- Context captured at handoff
- Capture missing evidence, assumptions, and next-review triggers before a work package is handed off.
Pilot scope
A pilot scope template you can inspect.
Inputs and expected outputs for the first controlled workflow — narrow enough for engineering, security, and procurement review.
Pilot inputs
- CMMS/EAM fields required for the first workflow
- Approved source evidence and maintenance history
- Review states and approval owners
- A sample handoff process for one asset group or outage window
Pilot outputs
- Handoff-ready work-package outline
- Evidence-to-field mapping
- Reviewer approval and exception log
- Measurement plan for rework, missing context, and review traceability
Workflow
One pipeline from evidence to engineer-approved output.
Every solution runs the same five-stage workflow: evidence intake, correlation and quality gates, agent reasoning, engineer sign-off, and a reportable work package.
- Intake
- Correlate & quality gate
- Agent reasoning
- Engineer sign-off
- Work package & report
Pilot lead path
Use a public tool, then move to approved evidence.
Public tools help prepare the conversation. A real GridAPM pilot should use only approved source evidence, explicit reviewer roles, and agreed data-handling boundaries.
Scope a controlled transformer APM pilot
Pick the asset population, evidence streams, reviewers, and measurement plan — engineers keep final authority at every stage.