Aging Infrastructure Meets New Mandates: The Case Against Running Two EAM Systems

CISA published OT asset inventory guidance. FERC approved five new reliability standards and extended mandatory CIP cybersecurity controls to the low-impact tier — substations and remote facilities that previously had limited compliance obligations. These aren't distant policy proposals. They are live requirements landing on infrastructure that, in large portions, was installed when Eisenhower was president.

Roughly 70% of US transmission lines and transformers are more than 25 years old. About half the existing gas pipeline network was laid in the 1950s and 1960s. The maintenance backlog is not hypothetical — it is measured in decades of deferred work now converging with some of the most demanding regulatory obligations the sector has faced. And for the operators caught in the middle — utilities, transit authorities, energy companies with both network-shaped and facility-shaped assets — this convergence is exposing a structural problem that has been easy to defer: two separate EAM systems for two fundamentally different asset worlds.

The fork in the asset universe

Not all assets behave the same way, and managing them well requires different mental models.

Linear assets — transmission lines, gas pipelines, rail corridors, water distribution networks — are spatial. Their behavior is governed by topology. A pressure drop in one segment propagates to adjacent segments. A failure at a junction affects everything connected downstream. Managing them well requires GIS-native data models, network-graph reasoning, and cascade failure simulation. When a section of water main degrades, the right question is not just "when will it fail?" but "which pressure zones, pump stations, and customers are exposed if it does, and in what sequence?"

Discrete assets — substations, compressor stations, water treatment plants, maintenance depots — behave differently. They are hierarchical: a facility contains systems, systems contain equipment, equipment contains components. Failure modes follow parent-child relationships. Performance is measured against ISO 14224 taxonomies, with OEE-grade telemetry flowing from instrumented equipment up through the hierarchy.

Both asset types are legitimate and necessary. The problem is that most mixed-portfolio operators have ended up with one system for each — a GIS-adjacent tool for the linear network, a traditional CMMS for the facilities — and those two systems were never designed to share a data model, let alone a reasoning layer.

What new mandates are exposing

CISA's OT asset inventory guidance doesn't distinguish between your transmission network and your control room. It requires a unified, auditable inventory of operational technology assets across the organisation. The expanded NERC CIP framework, updated in April 2026, goes further: mandatory cybersecurity controls now extend to low-impact BES Cyber Systems, adding remote authentication and intrusion detection requirements to thousands of previously lightly-governed facilities and substations.

Producing a unified OT asset register from two siloed platforms is a reconciliation problem. Data lives in different schemas, uses inconsistent naming conventions, and carries incompatible metadata. In practice, most organisations answer this with a quarterly spreadsheet exercise handled by whoever knows where the records actually live. That works until a post-incident review or a regulatory audit demands something faster and more defensible.

There is a second, operational problem. Machine learning models can now forecast asset failures six to twelve months in advance with accuracy rates above 85%. But a model trained on pipeline condition data cannot incorporate the maintenance state of the pump stations at either end if that data lives in a separate system with no shared asset ID. The AI is only as useful as the graph it can reason over. Fragment the graph, and you fragment the intelligence.

For a deeper look at how linear network data modeling differs from discrete hierarchy management — and why those differences matter for AI — see our linear asset management knowledge guide.

What a unified platform actually does

A platform capable of managing both asset types natively — not via middleware, not via a nightly ETL, but at the data model level — can answer questions that no siloed pair of systems can.

When a pressure anomaly surfaces in a distribution network, the system can surface the maintenance history of the relevant pump stations, check whether any scheduled inspections have been deferred, model the downstream exposure across the network topology, and generate a prioritised recommendation. Not a chatbot response to a typed query. A structured action, proposed by an agent, with a complete decision log attached.

UniEAM's agentic platform works this way across both asset topologies continuously. Every recommendation it generates logs the data inputs, the model version, and the decision path that produced it. When a CISA auditor asks why a particular inspection was prioritised, or a FERC reviewer wants to understand how a maintenance deferral decision was made on a low-impact substation, the answer is in the system — timestamped, traceable, and not dependent on anyone's memory.

That audit-by-default posture isn't a compliance feature bolted on the side. It's what happens when the AI layer was designed alongside the asset data model rather than added to it afterward.

The consolidation case

The global EAM market is projected to grow from $7.27 billion in 2025 to $16.42 billion by 2034. Most of that growth will come from consolidation — organisations retiring legacy point solutions rather than buying new ones. The driver is increasingly compliance. Fragmented asset data is a direct regulatory liability when the requirement is a unified, auditable OT inventory and the answer requires reconciling two platforms on a deadline.

For operators managing pipelines alongside treatment plants, transmission lines alongside substations, or rail corridors alongside maintenance depots, the two-system architecture is running out of runway. The question is no longer whether to consolidate but how to do it without losing the domain-specific modeling — network topology on one side, asset hierarchy on the other — that makes both asset types manageable in the first place.

Curious how UniEAM handles both? Request a demo.