How to align hardware refresh cycles with software end-of-support dates. An endpoint can be only three or four years old and still become a liability if the operating system or a line-of-business application reaches its end of support. Once vendor patches stop, the software becomes a significant security and compliance risk. In this video, we'll outline how to align hardware refresh cycles with software end-of-support timelines, which turns lifecycle management into a risk mitigation strategy. Before we begin, be sure to subscribe to NinjaOne's IT Video Hub and our YouTube channel for more tech content like this. How to build an EOL governance policy. Step 1: Identify critical software end-of-support dates. Every client environment should have a documented list of the following: operating systems in use, productivity suites (e.g., Office versions), line-of-business applications, and security tools and agents. Before performing this step, you need to have a list of operating systems and applications crucial to clients. You need to be aware of vendor-published lifecycle documentation for each product. You will need an inventory report that links installed software to specific endpoints. Then, match each software asset against vendor lifecycle documentation. For example, Adobe Acrobat 2017 has already reached the end of its support, so you'll need to tag it accordingly. At this stage, you're building a timeline view of software risk. Hardware decisions will follow from this. Step 2: Build a hardware-software alignment matrix. Once you know your key software EOL dates, connect them directly to hardware inventory. This doesn't need to be overly complex. A simple alignment matrix in Excel or Google Sheets can be highly effective. The goal is visibility: which devices are tied to software approaching end of support, and when does that intersect with your hardware lifecycle standard? As an example, your matrix can contain columns such as device name, device age, installed OS or critical application, software EOL date, recommended refresh quarter. Step 3: Integrate into QBR and budget planning. During QBRs, use the matrix to show upcoming vendor support deadlines, demonstrate which endpoints are affected, tie refresh recommendations to fiscal cycles, and quantify risk exposure in clear, business-focused terms. This shifts the narrative from "Your laptops are getting old" to "These systems will be unsupported in Q4 unless we refresh or upgrade." That distinction changes how clients perceive urgency. It reframes refresh cycles as risk mitigation rather than capital expenditure pressure. Step 4: Automate endpoint evaluation (optional). At scale, manual tracking becomes inefficient. Automation reduces manual effort and ensures consistency. You can use PowerShell or RMM scripting to flag devices that meet refresh criteria. This script calculates device age and flags systems older than four years, as well as systems running Windows 10. The complete automation workflow is detailed in the blog. There's a difference between replacing hardware because it's old and replacing hardware because it no longer fits its environment. When you track vendor timelines, connect them to endpoint inventory, surface the alignment in QBRs, and automate detection at scale, refresh cycles become predictable. For more information, check out our official blog post on how to align hardware refresh cycles with software end-of-support dates, linked in the description below.