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Engineering & Manufacturing Solutions

Connected engineering and manufacturing operations

Combine design services, engineering software, AI, analytics, enterprise integration and managed technology to improve product, plant and field operations.

Discuss an engineering requirement →
Business priorities

Where engineering and manufacturing teams need connected digital capability

Reduce fragmented information, improve production visibility, digitize engineering assets, automate service workflows and connect the systems used across design, manufacturing, quality and maintenance.

  • Engineering, plant and enterprise data remain disconnected
  • Production, quality and maintenance decisions lack timely insight
  • Legacy drawings, models and technical knowledge are difficult to reuse
  • Field-service, training and supplier workflows rely on manual processes
  • Engineering applications do not integrate with PLM, ERP or MES
  • Cloud, security and support ownership is unclear
Service scope

Six connected capability areas

Use one focused service or combine multiple capabilities around a product lifecycle, production process, maintenance operation or engineering transformation programme.

Engineering design & CAD services

Drawing conversion, 2D/3D detailing, modelling, CAD reconstruction, assemblies and manufacturing documentation.

Engineering software & applications

Web, mobile and desktop applications for engineering workflows, field service, inspections, approvals and technical collaboration.

AI, analytics & automation

Engineering knowledge search, production and OEE analytics, quality insights, predictive maintenance and workflow automation.

PLM, ERP, MES & platform integration

Connect product data, production systems, enterprise workflows, master data, APIs and operational reporting.

Digital content, learning & visualization

Technical animation, digital work instructions, interactive modules, maintenance content and multilingual training assets.

Cloud & managed engineering operations

Secure environments, DevOps, monitoring, support and ongoing management for engineering and manufacturing applications.

Applications

Where these services create value

Solutions are aligned to the information, systems and operational decisions required across engineering, production, quality, service and workforce enablement.

Product engineering

CAD data, design documentation, engineering change workflows and product-data collaboration.

Production operations

OEE, downtime, throughput and shift-performance analytics linked to plant systems.

Quality management

Inspection applications, non-conformance workflows, traceability and quality dashboards.

Maintenance & field service

Predictive maintenance, service applications, technical content and asset-history access.

Supplier & partner collaboration

Secure document exchange, approvals, revision control and engineering communication.

Workforce enablement

Digital work instructions, multilingual learning, simulations and technical knowledge access.

Expected outcomes

Operational improvements to target

Measures can include engineering turnaround, data accuracy, production visibility, maintenance readiness, application adoption, training effectiveness and reduction in manual work.

  • Connected product and plant information
  • Faster engineering and production decisions
  • Improved quality and maintenance visibility
  • Greater reuse of technical knowledge
  • Reduced manual handling and duplicate data
  • Reliable support for critical applications
Implementation approach

Start with the operational constraint, not the technology

Delivery is shaped around the workflow, source data, system landscape, engineering standards, plant constraints and measurable business result.

Discuss the requirement

Connect engineering services with digital operations

Share the product, plant, application or engineering-data challenge. We will help define the right combination of design, software, AI, integration and managed support.

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