Define the operating boundary
A useful definition names the triggering event, required inputs, governing source, accountable owner, decision or action, exception path, evidence retained, and downstream handoff. Buyers should adapt those elements to their own population, jurisdictions, policies, systems, and control model before writing requirements.
The most important distinction is between a label and an operational capability. A provider may document asset health and performance analytics while depending on customer-supplied policy, licensed content, third-party data, integration partners, manual review, or services. The demonstration should expose those dependencies rather than hiding them behind a completed interface.
What a demonstration should prove
- Begin with representative source records and a named policy, standard, or controlled rule.
- Show the normal path, an ambiguous case, missing data, an exception, an override, and a material source change.
- Identify who can change rules, who can approve or reject, and how accountability is preserved.
- Trace every output back to inputs, versions, timestamps, user actions, and governing evidence.
- Export the resulting record and reconcile it with downstream systems and retained obligations.
Authority and operating context
ISO 55000:2024
ISO 55000 provides the vocabulary, overview, principles, outcomes, benefits, and management-system context for asset management. It gives buyers a common language for value, alignment, leadership, assurance, adaptability, sustainability, and maturity without turning software into the asset-management system.
ISO 55001:2024
ISO 55001 specifies requirements for establishing, implementing, maintaining, and improving an asset-management system aligned with organizational objectives. Systems can support asset information, objectives, plans, controls, performance evaluation, and evidence, while leadership, accountability, value decisions, competence, and conformity remain organizational responsibilities.
ISO 55013:2024
ISO 55013 gives guidance on managing data so that it supports asset-management and organizational objectives. It makes asset identity, provenance, quality, ownership, access, retention, and decision fitness material requirements in CMMS, EAM, APM, and analytics programs.
ISO 17359:2018
ISO 17359 gives general procedures for setting up a condition-monitoring program for machines. It requires predictive-maintenance buyers to evaluate the monitoring program, asset context, methods, data, thresholds, diagnosis, and action chain rather than the alert screen alone.
ISO 13374-1:2003
ISO 13374-1 establishes general guidelines for software specifications related to processing, communicating, and presenting machine condition-monitoring and diagnostic information. It gives buyers a structured way to inspect data acquisition, manipulation, detection, assessment, prognosis, and presentation boundaries across monitoring stacks.
SMRP Body of Knowledge
The SMRP Body of Knowledge organizes maintenance and reliability practice into Business Management, Manufacturing Process Reliability, Equipment Reliability, Organization & Leadership, and Work Management. It helps buyers test whether a proposed system supports the operating program across all five pillars instead of reducing maintenance performance to a feature list.
DOE O&M Best Practices Guide
The DOE guide presents operations and maintenance management, technologies, and program practices for operational efficiency. It gives maintenance-system buyers a practical bridge between reactive, preventive, predictive, and reliability-centered approaches, program economics, staffing, documentation, and continuous improvement.
NRC Maintenance Rule
The NRC Maintenance Rule requires monitoring the performance or condition of structures, systems, and components against licensee-established goals in a risk-informed maintenance framework. It shows why maintenance records, performance criteria, condition monitoring, corrective action, risk, and program review need controlled definitions and evidence in regulated asset environments.
FTA Transit Asset Management rule
FTA's Transit Asset Management rule requires covered transit providers to develop asset-management plans, inventory and assess capital assets, prioritize investments, set targets, and report defined information. It creates a durable need for controlled asset inventory, condition, performance, investment, accountability, and reporting workflows in transit systems.
Operating domains
Condition monitoring and predictive maintenance
The governed chain from asset and failure context through sensing, data quality, detection, assessment, diagnosis, recommendation, work decision, intervention, and verification.
Reliability engineering and failure elimination
The operating discipline for defining required function, analyzing failures and consequences, selecting defensible strategies, investigating repeat loss, implementing action, and verifying sustained change.
Lifecycle cost and capital renewals
The decision system for balancing service, performance, condition, risk, maintenance, operating cost, remaining life, renewal options, timing, funding, and uncertainty across asset portfolios.
Integration, data governance, and cybersecurity
The control system for asset, work, inventory, labor, cost, document, sensor, control-system, and analytical data identities, ownership, exchange, security, lineage, quality, and retention.
Facilities and public-infrastructure stewardship
The lifecycle management of buildings, campuses, utilities, roads, transit, and civic assets through service requests, inspection, maintenance, condition, geographic context, service levels, risk, and renewal planning.
Evidence and comparison limits
Official provider documentation can establish product positioning. Provider confirmation can clarify package or availability. Independent observation requires a disclosed scenario, environment, date, inputs, and reproducible result. None of those sources alone establishes buyer-specific legal, clinical, regulatory, quality, or operational fitness.
Buyer questions
- What exact outcome and evidence should asset health and performance analytics produce?
- Which source, version, and customer facts govern the workflow?
- Which decisions remain human and who is accountable for them?
- What is native, configured, integrated, service-delivered, or planned?
- How does a changed source affect open and historical records?
Recent changes
ABB announces Genix APM Copilot — The event changes the maintained standards, ownership, identity, release, or product context. Buyers should update affected records while keeping announcements separate from configured product behavior, integration, implementation, and outcome evidence.
IFS completes the Copperleaf acquisition — The event changes the maintained standards, ownership, identity, release, or product context. Buyers should update affected records while keeping announcements separate from configured product behavior, integration, implementation, and outcome evidence.
IBM records Maximo Application Suite 9.0 general availability — The event changes the maintained standards, ownership, identity, release, or product context. Buyers should update affected records while keeping announcements separate from configured product behavior, integration, implementation, and outcome evidence.
Schneider Electric completes the AVEVA acquisition — The event changes the maintained standards, ownership, identity, release, or product context. Buyers should update affected records while keeping announcements separate from configured product behavior, integration, implementation, and outcome evidence.
Siemens announces acquisition of Senseye — The event changes the maintained standards, ownership, identity, release, or product context. Buyers should update affected records while keeping announcements separate from configured product behavior, integration, implementation, and outcome evidence.