Sixteen percent of organizations still track IT assets on spreadsheets. According to EZO’s 2026 State of IT Maturity Report, only 21% have real-time visibility into their device environments — and 54% say pulling together audit evidence alone takes one to three weeks. For organizations managing hundreds or thousands of shared devices, those numbers represent a significant operational liability hiding in plain sight.
Shared device programs — loaner laptops, shift-based scanners, tablets for field teams, hot-desk equipment — have scaled faster than the processes managing them. What was once a clipboard sign-out sheet for thirty devices is now a patchwork of manual handoffs, informal storage rooms, and reactive IT support covering device pools ten times that size. The bottleneck is predictable. The shift toward automation is already underway.
Why Manual Device Management Is No Longer Scalable
The core problem with manual device management isn’t effort — it’s volume. IT teams weren’t designed to serve as device valets at every shift change, class period, or desk rotation.
Consider what a manual handoff actually costs: an employee flags a device need, contacts IT (or waits at a window), IT locates an available device, confirms it’s charged and functional, logs the transaction by hand, and hands it over. That cycle — roughly 30 minutes per handoff in environments without automation — runs dozens of times daily in manufacturing, healthcare, education, and corporate settings with large shared fleets.
The accountability gaps compound quickly. Without digital logging, devices go missing with no audit trail. Uncharged units create shift delays. Usage data doesn’t exist, so procurement decisions are made without visibility into actual utilization. And when device loss does occur, the cost of replacement stacks against a total absence of chain-of-custody records.
A Lenovo study of 600 IT leaders found that three in four say manual processes in their support environments actively hinder productivity. The study also found that 65% of organizations detect device or equipment issues only after employees report them — meaning IT is perpetually reactive rather than proactive.
What Automated Device Management Looks Like in Practice
Automated device management removes IT from the individual transaction without removing accountability from the system. Device automation in the workplace shifts the operational model from human-mediated handoffs to self-serve infrastructure backed by digital logging.
In practice, this means:
- Self-serve access — Employees retrieve devices independently using badge, PIN, or mobile authentication. No IT presence required at each transaction.
- Automated charging — Devices are returned to charging bays between uses, ensuring the next user receives a powered, ready unit.
- Digital check-out and return logging — Every handoff creates a timestamped record: Who took it, What device, When. That data is exportable and feeds directly into ITSM platforms.
- Real-time availability visibility — IT and operations teams can see device status across locations without physical inventory checks.
The operational benefit isn’t just efficiency — it’s the shift from reactive to accountable. When every transaction is logged automatically, lost devices surface faster, utilization data becomes actionable, and audit preparation drops from weeks to minutes.
How Smart Locker Systems Enable Device Automation
The infrastructure that makes self-serve device access work at scale is the smart locker system for organizations — purpose-built hardware that combines secure compartment storage with software-driven access control and asset tracking.
Many organizations are now streamlining operations with automated smart locker system infrastructure that handles device distribution, charging, and access tracking without requiring manual IT intervention at each transaction.
Each compartment is individually secured and assigned to a specific device. Employees authenticate via badge, PIN, or mobile app to access their assigned unit. The system logs the transaction, triggers charging protocols on return, and syncs status to asset management platforms in real time.
For IT operations, the integrations matter as much as the hardware. Systems that connect with ServiceNow, Jamf, Intune, Google Admin, and Okta/Azure AD can automate ticket creation, inventory updates, and access permissions as part of the same workflow — not as a separate manual step. Centralized reporting across departments and locations gives IT directors and operations managers the cross-facility visibility that disconnected manual systems cannot provide.
Operational and Financial Benefits
The operational case for IT asset automation in 2026 is measurable across several dimensions:
- IT workload reduction. When employees self-serve device access in roughly two minutes per transaction, IT staff are freed from the volume of individual handoff requests. Organizations that have implemented automated device distribution report saving over 120 minutes of IT time per day — time that shifts toward higher-value work rather than device logistics.
- Lower device loss and replacement costs. Accountability gaps drive replacement costs in manual environments. With automated logging, every device has a complete chain of custody. Unreturned devices trigger automated alerts rather than being discovered missing during a periodic inventory sweep.
- Faster employee access. In shift-based environments, five-minute delays at the start of a shift multiply across teams. Self-serve access with pre-charged devices eliminates that friction. In healthcare, that means clinical staff reaching communication devices without waiting for IT availability. In manufacturing, it means shift workers clocking in without queuing.
- Scalability without proportional headcount increases. Gartner projects that by 2028, 70% of organizations will adopt managed device lifecycle services, up from under 35% in 2025. The organizations driving that adoption are doing so because they need to scale device programs across facilities without scaling IT staffing at the same rate. Automation makes that arithmetic work.
Industries Leading the Adoption
Device automation is gaining ground across sectors, but adoption isn’t uniform — the organizations moving fastest are those where device availability has a direct, visible impact on operations:
- Manufacturing and logistics are among the earliest adopters, driven by shift-based operations where device availability directly affects output. Rugged devices, such as handheld scanners, Zebra terminals, tablets, and other device types, cycle through three shifts daily. Manual handoffs at those volumes aren’t viable; automated locker systems absorb the transaction load without supervisor involvement.
- Healthcare faces a distinct but related challenge. Shared communication devices, tablets, and clinical tools move between staff across units and shifts. Authentication requirements are strict, and device availability affects patient care timelines. Smart locker infrastructure with badge-based access addresses both.
- Education — K-12 and higher ed — manages some of the highest device transaction volumes of any sector. Daily lending programs, exam device kits, and loaner fleets for students without personal devices all generate hundreds of handoffs per day. Without automated systems, the IT burden is unsustainable for lean teams.
- Corporate environments with hot-desking and shared laptop programs are increasingly adopting automated device distribution as hybrid work has made device availability unpredictable. Employees arriving at unassigned desks need equipment that’s charged, assigned, and logged — without an IT ticket or a walk to a help desk.
What to Consider When Planning an Automation Rollout
No two device programs are identical, and the sequencing of an automation rollout matters as much as the technology selected. Four considerations tend to separate implementations that scale from ones that stall:
- Start with transaction volume, not device count. The pain point in manual device management isn’t the number of devices — it’s the frequency of handoffs. An organization with 200 devices cycling through three shifts daily has a different automation need than one with 500 devices rarely moved.
- Map the friction points in current handoffs. Where are delays concentrated? At check-out, at return, at the charging stage? The answer shapes where automation delivers the fastest impact and helps prioritize which workflows to address first: Loaners, Repairs, Deployments, Replacements, or Charging.
- Prioritize integration with existing IT infrastructure. A smart locker system that doesn’t connect to your ITSM, MDM, or identity provider creates a new data silo rather than eliminating existing ones. Evaluate integration depth before hardware specifications.
- Plan for phased rollout. Starting with a single high-volume location — the building with the most device requests, the shift with the most friction — provides data and organizational familiarity before broader deployment. Pilot results also make the business case for expansion more concrete than projections alone.
Key Takeaways
The pressure on IT teams managing shared device programs isn’t easing. Device fleets are growing, user expectations around self-service are rising, and manual processes are hitting their ceiling. In 2026, automated device management is less a modernization initiative than an operational baseline — the approach organizations adopt when the alternative stops being viable.
Smart locker infrastructure is central to that shift, not because it’s a novel technology, but because it solves a specific, persistent problem: how to distribute, charge, and account for shared devices at scale without IT involvement at every step. The organizations that have implemented it are measuring the results in hours saved, devices recovered, and shift delays eliminated. The ones still on spreadsheets are measuring it in a different way.