Connected business and plant systems
Integrate ERP, PLM, MES, CRM, quality and service platforms so information moves across the full operating lifecycle.
Manufacturing, Aerospace & Engineering
Connected operations from design to service
Use AI, software platforms, analytics, cloud, multilingual content and engineering services to improve performance across the product and asset lifecycle.
Discuss your requirement →Support engineering, production, quality, maintenance, supply-chain, workforce and field-service teams with connected digital solutions.
EngineeringProductionQualityServiceIndustry priorities
Where digital capability can improve manufacturing performance
Modern manufacturers need accurate engineering data, connected systems, faster decisions, reliable assets and consistent knowledge across plants, suppliers and service teams.
AI-enabled operational decisions
Apply AI assistants, document intelligence and workflow automation to planning, quality, maintenance and engineering support.
Production and quality visibility
Track OEE, downtime, cycle time, scrap, rework, throughput and quality performance through role-based analytics.
Asset reliability and field service
Use condition data, predictive indicators and mobile service applications to improve maintenance planning and asset availability.
Workforce knowledge and training
Deliver digital work instructions, LMS-based training, simulations and role-specific learning for plant and service teams.
Multilingual technical communication
Localize manuals, interfaces, training modules, safety content and support journeys for distributed workforces and markets.
Service portfolio
Six capabilities for connected manufacturing
Engage a focused service or combine multiple capabilities across operations, workforce, engineering and technology platforms.
AI
SW
CL
DL
TR
EN
AI, Automation & Analytics
Production analytics, quality intelligence, maintenance insights, assistants and workflow automation.
Explore service →Industry Platforms & Integration
ERP, PLM, MES, CRM, supplier, quality and field-service integration.
Explore service →Cloud, DevOps & Managed Operations
Reliable environments, monitoring, application support, security and release management.
Explore service →Digital Learning & Workforce Enablement
LMS, digital work instructions, technical modules, simulations and compliance training.
Explore service →Translation & Localization
Technical manuals, training, interfaces, safety content and multilingual support experiences.
Explore service →Engineering Design & Digital Solutions
Drawing conversion, 2D/3D detailing, CAD reconstruction, animation and engineering applications.
Explore service →Priority use cases
Practical initiatives across the manufacturing lifecycle
Start with a defined operational issue and expand after the solution proves measurable value.
- ↗ERP–PLM–MES data synchronization and workflow integration
- ↗OEE, downtime, quality, scrap and production dashboards
- ↗AI assistants for maintenance, engineering and shop-floor knowledge
- ↗Predictive maintenance and mobile field-service applications
- ↗Supplier, warranty, inspection and non-conformance automation
- ↗Digital work instructions, training modules and technical simulations
- ↗Multilingual manuals, HMI content, safety material and support portals
- ↗Drawing conversion, CAD detailing, technical animation and engineering-data modernization
Business outcomes
Improvements that matter to plant and engineering leaders
Programs are structured around operational measures rather than technology deployment alone.
Better visibility
Consistent information across engineering, production, quality and service.
Faster response
Shorter decision, approval, maintenance and issue-resolution cycles.
Higher reliability
Improved platform availability, asset uptime and support continuity.
Stronger workforce readiness
Accessible training, instructions and multilingual technical knowledge.
Implementation approach
Modernize in stages without disrupting operations
Prioritize one workflow, plant area or system boundary; validate with real users and data; then scale with governance, support and measurable acceptance criteria.
01 Map process, systems and data02 Define value and controls03 Pilot in a focused environment04 Scale, support and improve
Manufacturing transformation
Start with the operation that needs improvement
Share the workflow, systems, performance issue or engineering requirement. We will identify the most relevant service combination.