Reliability Intelligence
Learn from CMMS history and condition data.
Build governed asset foundations, learn from operating evidence, and turn reliability insight into engineer-approved decisions—without replacing your CMMS.
Nexaan governs what enters your CMMS, learns from operating evidence, and returns engineer-approved improvements across similar assets.
Standardise hierarchies, RCM/FMEA and strategy.
Your system of record. Nexaan integrates with it, it does not replace it.
Learn from CMMS history and condition data.
Optimise for cost, risk, availability and performance.
Governed asset foundations
Replace fragmented data, spreadsheets and scattered engineering knowledge with governed hierarchies and maintenance strategies for operational readiness, then turn approved tasks into execution-ready data.
Build a governed functional location hierarchy for operational readiness and CAPEX projects.
For greenfield builds, brownfield CAPEX and operational-readiness programmes that need a clean asset structure before execution begins.
Create standardised functional locations from engineering drawings, specifications and equipment registers using your naming, classification and CMMS master-data rules. Engineers and asset stakeholders review every location before approval, then the same governed hierarchy flows into Asset Strategy and the modules that depend on it.
Set the controlled language every downstream module uses.
Your risk matrix, CMMS and RCM standards, and task bundling rules, set once.
Before any strategy is built, Nexaan standardises your configuration so every step downstream speaks the same language from day one. It clears the inconsistent equipment names, missing codes, duplicate and redundant entries, and broken hierarchies your existing systems carry, before any of it can spread.
Create reusable asset classes and engineering knowledge.
AI-agent-assisted equipment hierarchies, functions, failure modes and task analysis.
Nexaan's AI agents build a reusable library of asset classifications, Functions, Failure Modes and Task Analysis. With equipment and components named to one standard, the library becomes the governed engineering source every team draws from and the basis for one consistent asset language.
Turn failure knowledge into reviewable maintenance strategies.
Import CMMS functional locations, link them to their respective asset classifications, and scale standardised strategies across similar fleets.
Bring functional locations in from your CMMS and link them to their respective asset classifications. Nexaan applies the governed strategy across similar fleets while retaining operating-context differences, so failures are reported at the right level and improvements can be scaled deliberately.
Convert strategy tasks into practical executable work.
Your own bundling rules, applied automatically, with a shared review before anything goes live.
Every company plans differently, so Nexaan bundles maintenance activities to your own rules, the ones you set once in your configuration, whatever your planning standard. From there, engineers and maintenance planners review each bundle together, confirm the work adds value for the field, and agree the detail before it is published to your CMMS for execution.
Govern the failure codes used in execution and reporting.
Failure modes converted into asset-specific, SAP-aligned failure codes, with Maximo PCR codes available on request.
Nexaan converts engineering failure modes into governed, CMMS-ready codes so technicians can select the right asset-specific record instead of relying on generic free text. Each code remains tied to its failure mode and detection task. Automated Pareto charts and bad-actor analysis support benchmarking across similar assets, so approved improvements can be applied across assets with the same operating context.
Operational evidence
Align corrective work and condition signals to failure modes, then expose MTTR, labour, spares and cost evidence engineers can trust.
Read every work order like a reliability engineer would.
Transform descriptions, technician notes, dates, costs and labour into a structured failure record. Work orders are classified against a controlled taxonomy so inconsistent history becomes searchable, comparable evidence.
Model asset health at failure-mode level and time interventions using P-F curves.
Track vibration, oil, thermography and other condition signals at failure-mode level. Generate P-F curves from known degradation patterns, forecast bounded intervention windows, and compare them with planned shutdowns and the cost of running to failure.
Engineer-reviewed decisions
Optimise maintenance for cost, risk, availability or performance, manage hazards and test throughput constraints before approving change.
Set maintenance intervals using evidence, cost and risk.
Model confirmed failures and suspension history against a chosen reliability target. Engineers see the cost and risk basis for every interval recommendation before approving a governed, timestamped change.
Model how assets perform together as an operating system.
Represent series, parallel and standby relationships using the governed hierarchy, then layer in failure and repair data. Test redundancy, repair-time and shutdown scenarios before committing operational or capital resources.
Trace the failure combinations behind critical outcomes.
Map logical paths to safety, environmental and production events using the same failure evidence held across Nexaan. Rank single points of failure and dependencies so risk-reduction effort targets the paths that matter most.
See how Nexaan can connect your engineering standards, CMMS history and reliability decisions.