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Digital Employee Experience is quickly moving from an IT concern to a boardroom priority. According to Gartner, “By 2026, 50% of digital workplace leaders will have established a DEX strategy and tool, up from 30% in 2024.” However, enterprises can still lose up to 470,000 hours per year due to poor DEX highlighting the need for organizations to pay close attention to the experience of their employees. However, implementing a DEX tool alone isn’t enough.

The way employees work is being transformed by AI, expanding digital environments, and rapid organizational change. These shifts create new opportunities for performance, but they also make productivity fragile – easily disrupted by complexity, friction, and underutilized tools.

From Microsoft Copilot to ChatGPT, AI applications are quickly becoming everyday workplace tools. But for many organizations, turning on these capabilities isn’t as simple as flipping a switch. Enterprise licenses for AI tools can cost millions, yet few companies can confidently say employees are using them effectively, or safely. The reality is that most AI rollouts start strong but stall fast.

Price is not the same as cost. When organizations evaluate new end-user technology investments, whether that’s laptops, operating systems, or management tools the conversation inevitably turns to Total Cost of Ownership (TCO). TCO studies traditionally focus on direct, measurable costs: hardware procurement, software licensing, support contracts, and lifecycle services. But there’s a growing blind spot in these calculations: the employee experience.

Bob did—until he realized there was a smarter way. With real-time insights from Nexthink, he stopped guessing and started making data-driven decisions: keeping the high performers, replacing the real troublemakers, and upgrading the underperformers. The result? Happier employees, optimized budgets, and devices refreshed based on need—not age.

This was what Sarah was looking to solve. ⁠Managing software licenses isn’t just tracking installs—it’s about uncovering hidden usage and reclaiming wasted spend. When Sarah faced $12M in software costs, scattered licenses, and zero visibility, she needed a better way. With Nexthink, she gained real-time insights, smart user nudges, and automated reclamation. ⁠The result?

Taylor proved it—turning license headaches, VPN chaos, SCCM continuity and patch pain into a smooth, confident performance.⁠⁠Here's how Taylor did it.⁠ In the end, IT isn’t just about fixing—it’s about flowing, scaling, and making work effortless.⁠Request a demo today.

Level 1 engineers face incoming tickets without real-time visibility into endpoints. The result? Endless tool-switching, guesswork diagnostics, missed SLAs, and unnecessary escalations. Critical issues remain hidden until they impact productivity.⁠ Then came Nexthink.⁠ Now engineers see issues in real time, fix faster, and even prevent problems users don’t notice.

The 2025 Market Guide for Digital Adoption Platforms (DAPs) marks an important point in the evolution of the category. Digital adoption has matured from a supporting role into a central part of enterprise strategy. Organizations are no longer asking if they need a DAP—they’re asking which one. In this latest research, Gartner establishes DAPs as essential to business transformation, efficiency, and employee experience. The takeaway is clear: digital adoption is no longer optional.

The enterprise is standing at the edge of a seismic shift: an AI revolution. In the next five years, the way work gets done will be fundamentally reshaped as workflows once handled by humans are increasingly replaced or enhanced by artificial intelligence. But here’s the reality: success won’t come from simply handing out Copilot or GPT licenses and hoping employees figure it out.