Teceze deployed Autopilot platform enabling self-service device provisioning for 58,000+ devices across 12 campuses. The result: 15,000 new student devices annually with 80% reduction in IT effort, supporting students, faculty, and research across education profiles, shared device mode, and lab workstations.
Education University System is a Higher Education organization operating 12 U.S. Campuses with 15,000+ annual student devices, diverse user types, budget constraints, complex licensing as primary business drivers. The organization requires Autopilot device provisioning.
Education University System faced a scale problem: every year, 15,000+ new student devices require provisioning, imaging, and deployment across 12 campuses. The IT team had limited budget and staff to handle this volume. Devices include student laptops, faculty workstations, lab computers requiring shared device mode, and research-grade systems.
Software licensing was complex—different departments required different tools. The engagement required implementing user-driven Autopilot for students with education profiles, white-glove deployment for faculty, shared device mode for computer labs, and automated software deployment via Microsoft Intune.
Teceze designed an Autopilot-based self-service platform that tailors the device experience to how it’s actually used across campus. Students get self-service enrollment through education profiles, with the platform automatically detecting student versus faculty device needs and applying pre-configured, education-specific apps and settings. Faculty onboarding runs through a dedicated white-glove service, with custom software packages built per department and priority support carved out for research computing requirements. Lab machines operate in shared device mode, automatically logging off after each session and resetting to an ephemeral profile so every user starts clean.
From challenge to transformation, the solution included:
Self-service device enrollment using education profiles, with automatic detection of student vs. faculty device needs and pre-configured education-specific apps and settings.
Dedicated support team for faculty device onboarding, with custom software packages per department and priority support for research computing requirements.
Computer lab machines operating in shared device mode, with automatic account logoff after session and ephemeral profiles ensuring a clean state for the next user.
Intune-driven application distribution to device groups, automatic driver and firmware updates, and staggered rollout preventing resource bottlenecks.
Operational transparency and stakeholder alignment are critical to program success. A layered governance model keeps program health and costs visible:
| Cadence | Forum | Focus |
|---|---|---|
| Daily | Operations Stand-up | Device provisioning queue, Autopilot failures, software deployment issues |
| Weekly | Platform Review | Provisioning metrics, user adoption, software licensing compliance |
| Monthly | Governance Call | Platform health, Intune integration status, device lifecycle management |
| Quarterly | Business Review | Cost per device, IT effort reduction, emerging technology roadmap |
“Device provisioning used to consume our entire IT team during August. Autopilot eliminated that bottleneck. Students now self-enroll, faculty get customized builds, labs run in shared mode, and researchers get what they need. The IT team went from firefighting provisioning to strategic technology planning.”
— Director of IT Operations
Teceze provided Autopilot architecture, education profile configuration, shared device mode setup, Intune software deployment, lab management integration, and ongoing support. Governance model includes daily operations standups during peak provisioning periods, weekly platform reviews, monthly compliance checks, and quarterly strategic planning.
Education University System now operates a self-service device-as-a-service model. Students can self-replace failed devices. Faculty access advanced research computing through flexible provisioning. The organization tracks device lifecycle costs, enabling evidence-based budget planning and reinvestment in emerging technologies for academic programs.