Scoring Your AI PC Maturity
Total Questions: 10
Points per question: 2-8 points
Maximum possible score: 80 points
AI PC Maturity Quiz
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Less than 25%
51–75%
More than 75%
What percentage of your organization's endpoints are equipped with NPUs (Neural Processing Units)?
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25–50%
A
We are not sure how AI-powered devices can help us
B
We are starting to explore use cases and basic functionalities of AI-powered devices
C
We are leveraging AI-enabled devices to improve productivity and collaboration
d
Our end users fully leverage AI-powered devices for various use cases
How would you describe your organization’s current use of AI-powered devices?
No formal strategy or governance in place
Exploring use cases and building awareness
Defined governance and standards framework
Strategic AI roadmap with employee engagement and training
What best describes your AI governance and strategy?
Not used at all
Limited to cloud-based AI tools like Grammarly, ChatGPT, Google Gemini, etc.
Some local AI workloads (e.g., Copilot, AI-enhanced apps) and ML models to optimize workflows and productivity
Extensive use of local AI with dedicated hardware (e.g., NPUs for on-device processing)
How are AI capabilities being used on endpoints?
Manual updates and basic antivirus
Traditional tools (like Microsoft SCCM) with some automation
Unified Endpoint Management (UEM) with identity-based access controls
AI-enabled endpoint managment and security with enhanced detection and remediation capabilties
How are endpoints managed and secured?
No formal training or enablement with no AI innovation
Basic tutorials or self-service resources and interested in learning and applying known use cases
Structured training programs and internal champions who are actively optimizing and experimenting with AI
Continuous learning with AI certifications and innovation labs
How is your organization enabling users to adopt AI tools?
Not integrated and used in isolation
Used in a few departments for specific tasks
Integrated into multiple workflows across departments
Fully embedded into strategic and operational processes
How integrated are AI tools with your core business processes?
Mostly on Windows 10 or older OS versions
Mixed environment of Windows 10, ChromeOS, and MacOS with limited or no AI features
Mixed environment with some devices having AI-ready operating systems
Majority on Windows 11 with Copilot, ChromeOS with Gemini, or Mac devices with Apple Intelligence
What is the current status of your endpoint operating systems?
Rely on basic IT support with limited AI knowledge
Some AI-specific support resources available
Dedicated support for AI tools and performance optimization
Proactive, AI-driven support with predictive maintenance
How do you handle support for AI-powered devices?
No formal policies for AI data usage
Basic awareness of AI privacy concerns
Documented AI ethics guidelines and data handling procedures
Comprehensive AI governance with regular audits and compliance monitoring
How does your organization approach AI data privacy and ethical considerations?
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d
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d
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d
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d
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Assess current infrastructure to identify gaps in AI readiness (endpoints, GenAI tools, security).
Educate stakeholders on AI at the endpoint capabilities and potential business value.
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Glossary
AI PC A computer with dedicated AI processing capabilities, typically featuring a Neural Processing Unit (NPU)
NPU Neural Processing Unit - specialized hardware designed to accelerate AI tasks
TPM 2.0 Trusted Platform Module - security chip that provides hardware-based security functions
UEM Unified Endpoint Management - software that manages all devices from a single console
Zero trust Security model that requires verification for every person and device accessing resources
Copilot Microsoft's AI assistant integrated into Windows and Office applications
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Show glossary of AI PC terms
Pilot AI PCs and devices in targeted use cases(e.g., productivity, security, automation).
Evaluate ROI and user feedback from early deployments.
Develop a roadmap for broader AI PC adoption with SHI’s strategic guidance at our Next-Gen Device Lab
Explore with confidence — SHI helps you test, learn, and plan your AI PC & Device journey
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Exploring
Standardize AI device configurations across departments for consistency and manageability.
Integrate AI tools into existing workflows and ensure user training and adoption.
Establish governance for responsible AI use, data privacy, and compliance.
Deploy with precision — SHI ensures seamless AI PC & Device integration and adoption
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Implementing
Continuously monitor performance and user outcomes to refine AI PC & Device usage.
Scale AI capabilities across business units and integrate with enterprise systems.
Collaborate with SHI to stay ahead with emerging AI innovations and lifecycle services.
Maximize impact — SHI helps you scale and refine your AI PC and Device strategy for lasting value
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Optimizing
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