Powering precision healthcare innovation with HCLTech AI PCs, Intel and Dell
A global medical-technology leader partnered with HCLTech, Intel and Dell to modernize its endpoint estate with AI-enabled PCs. By leveraging Intel® Core™ Ultra processors, integrated NPUs and HCLTech’s rollout expertise, the collaboration accelerated AI adoption across R&D, clinical diagnostics and commercial teams—while maintaining HIPAA compliance, reducing cloud costs and streamlining IT operations.
The Challenge
- R&D teams needed on-device AI for rapid prototyping and data analysis
- Clinical labs required low-latency, compliant inferencing for diagnostic imaging
- Commercial staff sought productivity boosts via AI assistants
- Global IT faced complexity in provisioning, security controls and telemetry
- Field engineers needed offline AI tools in bandwidth-constrained sites
The Objective
- Equip 9,000+ users with AI-ready PCs to reduce model iteration and cloud spend
- Ensure local inferencing for sensitive workloads to meet data-sovereignty and HIPAA requirements
- Boost productivity with embedded AI assistants
- Centralize device management, security enforcement and monitoring
- Enable offline AI capabilities for remote healthcare delivery
The Solution
- Hardware and management: Dell Latitude AI PCs powered by Intel® Core™ Ultra with integrated NPU, managed via Intel vPro® and Intel EMA
- On-device AI: Healthcare-trained LLMs and imaging models for local inferencing
- Productivity: Microsoft Copilot for content summarization, proposal drafting and data insights
- Rollout and enablement: HCLTech conducted persona-based configuration, global deployment, AI training and compliance integration
the impact
- Prototype iteration time reduced by up to 15% through local inferencing and AI-assisted workflows, accelerating product cycles in R&D and engineering teams
- Diagnostic inference latency lowered by 20%, enabling faster issue detection and remediation at endpoints, while reducing reliance on cloud compute resources
- Proposal turnaround improved by 5–20% for commercial and pre-sales teams through AI-powered summarization, auto-documentation and copilot-integrated tools
- Endpoint-related disruptions reduced by 25%, driven by proactive device health checks, remote remediation and AI-based support automation
- Imaging and cloud provisioning costs lowered by 5-10% through zero-touch deployment and local configuration, minimizing dependency on centralized imaging infrastructure
Intel services used
- Intel® Core™ Ultra Processors
- Intel vPro® Platform
- Intel Endpoint Management Assistant (EMA)
