Pre-certified IBM Maximo integration that converts extracted P&ID, datasheet, and equipment data directly into Maximo asset hierarchies, locations, work order templates, job plans, preventive maintenance schedules, condition monitoring points, and inspection registers. Supports Maximo 7.6 and Maximo Application Suite (MAS) 8.x, both cloud and on-premises. Day 1 operational readiness at commissioning, with no 6-month post-handover data-load project. Used alongside AVEVA NET, SAP PM, or as the standalone asset backbone.
Maximo asset hierarchies built from P&ID tag structure and equipment relationships: parent-child, functional location, unit / area / system / loop groupings, and asset class inheritance. ISA 5.1 classification applied. Output compatible with Maximo's location hierarchy and asset class models.
Functional locations created in Maximo for every tagged asset. Work order templates pre-populated with equipment data, specifications, maintenance requirements, spare parts list, and skill requirements. Job plans linked to standard-operating-procedure documents extracted from vendor manuals.
Measurement points and condition monitoring fields configured from extracted instrument data: vibration, temperature, pressure, flow, corrosion, thickness. Meter groups and meter reading schedules set per instrument type. Alarms and action thresholds populated from process design data.
Preventive maintenance schedules configured based on extracted equipment types, safety classifications, and regulatory requirements (IBR hydrotest intervals for pressure equipment, PESO periodic inspection for licensed equipment, OISD inspection frequencies). Usage-based, calendar-based, and meter-based PM strategies supported.
Inspection registers populated from IBR / PESO / OISD / ASME compliance data. Mobile-work-order-ready metadata flows to Maximo Mobile, IBM MAS Monitor, and third-party mobile EAM apps. Field inspector access configured per role.
Equipment BOM extracted from vendor O&M manuals and datasheets feeds into Maximo item master. Spare parts linked to parent asset with criticality classification. Maximo inventory optimisation populated with spares consumption expectations.
Data structured to feed Maximo Application Suite Monitor (real-time condition monitoring) and MAS Predict (predictive maintenance). Asset health scoring and anomaly detection ready on Day 1 of operations instead of requiring 12-24 months of baseline data collection.
Complete Maximo handover package (asset register, location hierarchy, work order templates, PM schedules, job plans, SOP links, spares BOM, inspection registers) delivered as a single data-load file ready for Maximo import. No manual data entry. No 6-month post-handover loading project.
Greenfield refinery commissioning: Maximo populated with 5,000+ assets, 50,000+ locations, PM schedules, and inspection registers on Day 1
Brownfield petrochemical plant digitisation: legacy paper asset registers converted and loaded into existing Maximo 7.6 instance
LNG terminal handover from Samsung E&C or Chiyoda to the owner-operator's Maximo MAS 8 instance
Consolidate asset master across 5 refineries into a corporate Maximo instance: unified asset hierarchy and PM schedule library
IBR-compliant Maximo inspection register: hydrotest due dates, Chief Inspector visits, Form IV renewal alerts auto-populated
Condition monitoring setup for a rotating equipment population: vibration, temperature, oil analysis meter groups configured from datasheets
MAS Predict activation: feed engineering design data so predictive models run from Day 1 instead of waiting 2 years for baseline
Mobile inspection deployment: inspection registers and route planning for field inspectors via Maximo Mobile or Monitor UI
IBM Maximo 7.6 (all 7.6.x releases) and Maximo Application Suite (MAS) 8.x, including MAS Core, MAS Monitor, MAS Predict, MAS Health, and MAS Optimizer. Both SaaS (IBM Cloud) and on-premises deployments supported. Legacy Maximo 6.x can be supported on custom engagement basis.
Architecturally similar: Pathnovo extracts engineering data once and writes it to either Maximo or SAP PM via the respective native data-load mechanism (Maximo MIF / MEA, SAP PM IDOC / BAPI / OData). Clients operating on Maximo get asset hierarchy, locations, work orders, PM schedules, and condition monitoring configured in Maximo format; clients on SAP PM get the equivalent populated in functional locations, equipment master, task lists, and maintenance plans. See /solutions/engineering-handover/sap-pm-integration for the SAP variant.
Yes. MAS Predict and MAS Monitor require asset engineering data (design parameters, failure mode history, sensor tag mappings) as the foundation for machine-learning models. Pathnovo provides that engineering data layer on Day 1 of operations, shortcutting the usual 12-24 month baseline collection period. Asset health scoring, anomaly detection, and predictive maintenance become actionable from commissioning instead of after year 2.
Yes. Many Indian PSU refineries and Gulf operators run Maximo with 30 years of accumulated asset data: partial, inconsistent, and often inherited from multiple commissioning teams. Pathnovo digitises legacy paper / Excel / scanned engineering documents, cross-references against the existing Maximo data, and produces a reconciled update for Maximo. Asset data quality improves dramatically without a rip-and-replace project.
Locations (hierarchy and classifications), Assets (with specifications, meters, attached documents), Work Order Templates (job plans, tasks, safety plans), Preventive Maintenance records (frequency, last / next date, linked job plan), Meters (continuous and gauge types with reading schedules), Inspection Routes, Inspection Forms, Spare Parts (Item Master with inventory optimisation), Safety Plans (hazards, precautions, lock-tags), and Failure Classes. Custom Maximo objects supported on request.
For a greenfield project with 5,000 assets: 4-8 weeks from engagement start to Maximo-ready data load, runs parallel to engineering completion. For brownfield digitisation of 20,000+ assets: 12-24 weeks including legacy document extraction and Maximo data reconciliation. Per-engagement scoping at kickoff.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
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