Overall, I like being able to get a big-picture view of the health of my environment while still having the option to drill down into the smallest details. When issues are found, I can respond quickly to remediate them, and I can also take proactive steps to help prevent them from happening again.

The insights we gain on endpoint performance are way beyond any other product in this category. I love the fact that all of the data is easily accessible via the Nexthink Query language. The DEX score is completely transparent so it is easy to see exactly what is detracting from the score and what has changed over time.

What I value most about Nexthink is the Workflows engine - it's where we've seen by far the greatest return. Workflows let us orchestrate Remote Actions, custom functions, conditional logic, loops, and external API calls into a single automated process, turning what used to be multi-step manual runbooks into repeatable, hands-off automation. A big part of the ROI is the visual builder itself. Composing a workflow - chaining Remote Actions, branching on outputs, looping over affected machines, wiring in API calls - through the UI is dramatically faster than hand-building the same orchestration and glue code manually. What would otherwise be a scripting project becomes a drag-and-connect exercise, which means we stand up new automations in a fraction of the time and hand off maintenance far more easily than a pile of bespoke scripts. The integration story compounds that. Being able to make external API calls mid-workflow means Nexthink isn't a silo - it becomes the automation hub tying our endpoint data to the rest of our tooling. Rather than exporting data and stitching systems together elsewhere, we reach out to external systems inline, which cuts development time and keeps the whole process in one place. Combined with branching logic and loops, we build workflows that adapt to what they find rather than running a fixed script blindly. The AI capabilities have been a genuine accelerator too. One of the most valuable things I've done is craft a prompt for use with Workspace AI that produces complete, import-ready dashboards - rather than assembling widgets and queries by hand, I can generate a full working dashboard from a well-structured prompt and refine from there. That's taken dashboard creation from a tedious manual build to a matter of minutes, and it means less time starting from a blank page and more time on the analysis that actually matters. Put together, the return has been concrete, automations that previously took an engineer hours of manual investigation and remediation now run automatically and consistently across our entire Windows estate, physical and virtual workstations alike. The visual builder, the integrations, and the AI assistance each cut development time, and together they let a small team punch well above its weight.