Operations cannot see engineering data
Maintenance teams work from drawings and records that may not match the installed configuration.
Connect the engineering record to assets in the field.
Energy equipment is designed once and operated for decades. Maintenance, upgrades and performance analysis depend on knowing exactly what was built and how it behaves in service.
- Teamcenter
- Windchill
- ThingWorx
- SAP
Where the thread usually breaks
Field data stays in operations
Telemetry rarely makes it back to engineering, so design decisions are not informed by service performance.
Asset information is fragmented
Engineering, ERP and maintenance systems each hold part of the asset record.
What we focus on
- As-built and as-maintained asset structures
- IoT telemetry linked to engineering requirements
- Integration between PLM, SAP and maintenance processes
- Analytics and automation on asset and field data
Relevant services
Product Lifecycle Management
Windchill and Teamcenter implementation, configuration, migration and enterprise integration.
SAP & Engineering Integration
Connect PLM product information with SAP material records, bills of materials and engineering changes.
AI & Engineering Automation
Identify and implement practical automation across engineering data, integrations and enterprise workflows.
Delivery approach
How an engagement runs.
- 01
Discover
Workshops with engineering, IT and quality to map the current workflow and agree priorities.
- 02
Design
A target data model, integration architecture and scope with measurable acceptance criteria.
- 03
Build
Configuration and integration in short iterations, reviewed against representative records.
- 04
Validate
Migration reconciliation, integration tests and user acceptance before cutover.
- 05
Operate
Handover, administrator guidance and support while the new workflow settles in.