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🚨 A 10-person IT team managing devices across two countries. Limited budget. Constant firefighting. PMC fixed it by replacing assumptions with data. 36% fewer incidents. 24% fewer hardware failures. +1 year per device lifespan. And 20-25% of the team's time redirected from reactive tickets to proactive improvements. This is what data-driven IT looks like in practice.

Budget season is here — and most IT replacement forecasts are still built on device age, not device health. That means over-budgeting on computers that don't need replacing, and missing the ones that do. This guide breaks down what to look at instead.

Most IT teams replace computers based on age. That's costing you money you don't need to spend. Applixure's Lifespan Analysis uses 20+ quality metrics to show exactly which devices need replacing — and which ones don't. IT leaders managing 200+ devices are saving significant budget without compromising performance or security. See how it works in 30 minutes.

Replacing computers on a schedule? There’s a better way. Applixure helps you switch to condition-based decisions. Save money, cut waste, and extend device lifespan, with confidence. Download the free IT playbook today.

Hi %FIRSTNAME% Most IT environments replace significantly more devices than necessary. The problem is that very few teams can actually estimate how much unnecessary replacement is costing them each year. As a result, refresh decisions often stay tied to static lifecycle policies: 3 years → replace 4 years → replace We built a simple calculator that estimates how much your organisation could potentially save by moving to condition-based lifecycle management instead of age-based replacement cycles. You can test your own numbers HERE

Most device issues never reach the helpdesk. Applixure Feedback captures silent productivity problems directly from end-user experience signals, before they become tickets, complaints, or unnecessary replacements.