Accelerating intelligent manufacturing and engineering with HCLTech and Intel
A global mobility leader modernized its device infrastructure with HCLTech, Intel and Lenovo, deploying AI PCs to drive smart manufacturing, AI-led development, and sustainable operations.
Overview
A global technology leader in mobility solutions sought to modernize its device infrastructure to support smart manufacturing, AI-driven product development and sustainable operations. Partnering with HCLTech, Intel and Lenovo, the organization deployed AI PCs powered by Intel® Core™ Ultra processors across engineering, IT and operations teams worldwide. This initiative enabled AI at the edge, enhanced product lifecycle management and advanced the client’s vision of becoming a software-defined mobility leader.
The Challenge
- Increasing demands for AI-driven workflows in manufacturing and engineering
- Relying on legacy endpoints that limited productivity and edge AI enablement
- High cloud dependency created latency and security concerns for sensitive workloads
- The scale and diversity of global teams made device management and adoption complex
The Objective
- Accelerate AI adoption in product lifecycle management, predictive maintenance and factory automation
- Enhance workforce productivity with intelligent, secure and manageable endpoint devices
- Reduce cloud dependency by enabling edge inferencing and AI capabilities locally
- Ensure seamless, large-scale deployment and adoption across multiple geographies and user personas
The Solution
- HCLTech led the persona-driven rollout of Lenovo AI PCs powered by Intel® Core™ Ultra processors integrated with Neural Processing Units (NPUs) and Intel vPro® for manageability and security
- The deployment included Intel Endpoint Management Assistant (EMA) for remote device control and Microsoft Copilot for productivity enhancements
- Extensive AI enablement was provided via tailored training and local generative AI inferencing using Intel OpenVINO™
- The solution encompassed engineering, manufacturing, IT and corporate functions, enabling use cases from CAD automation to digital twin-based predictive maintenance
The Impact
- Up to 15% reduction in design iteration time; reduced manufacturing rework
- 15–20% decrease in routine support tickets
- >50% Copilot adoption within the first 90 days
- 15% reduction in downtime incidents
- 25–30% of AI workloads offloaded to local device
Intel services used
- Intel® Core™ Ultra processors with integrated AI capabilities
- Intel vPro® Platform
- Intel Endpoint Management Assistant (EMA)
- Intel OpenVINO™ toolkit
