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Powering precision healthcare innovation with HCLTech AI PCs, Intel and Dell

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5 min read
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Overview

A global partnered with HCLTech, Intel and 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 adoption across R&D, clinical diagnostics and commercial teams—while maintaining HIPAA compliance, reducing cloud costs and streamlining IT operations.

The Challenge

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  • 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

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  • 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

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  • 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
Powering precision healthcare innovation with HCLTech AI PCs, Intel and Dell

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

 

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Intel services used

  • Intel® Core™ Ultra Processors
  • Intel vPro® Platform
  • Intel Endpoint Management Assistant (EMA)