Too many disconnected alarms
Sensor readings lack maintenance context and equipment history.
AI FOR POWER & UTILITIES
From scattered asset warnings to maintainable grid decisions.
Utility engineers need to connect SCADA events, equipment history, inspection evidence and field work orders. IRAH helps teams prioritise credible risks without interfering with authorised protection or dispatch.
IRAH / APPROACHPROBLEM → EVIDENCE → DECISION
OPERATIONAL PROBLEM01 / CONSTRAINT 02 / CONSTRAINT 03 / CONSTRAINT
Three areas where teams lose time or clarity.
Late interventions
Risk signs are not translated into inspections with clear ownership.
Poor field visibility
Location, consequence and crew evidence arrive in different systems.
ILLUSTRATIVE SYSTEM DESIGN
A connected workflow, not isolated AI features.
01
OBSERVE
Join permissible telemetry and asset registry data
02
ASSESS
Rank abnormal conditions with context and uncertainty
03
VERIFY
Engineer checks suggested actions and safety constraints
04
LEARN
Record inspection outcomes to refine thresholds
HOW WE WOULD VALIDATE
Agree an evidence-based pilot first.
Track warning precision, false alarms, inspection lead time, repeat alerts and engineer acceptance before claims of avoided outages.
HONEST POSITIONINGProposed architecture
These examples illustrate solutions available for evaluation. They are not claims of an existing implementation, client contract or guaranteed percentage saving.