What is our primary use case?
There are many use cases for Workspace ONE Intelligence. My primary use case is proactively monitoring and automatically remediating endpoint issues before they affect users or security compliance.
When I'm using Workspace ONE Intelligence on a normal day, the first thing I usually do is perform morning compliance checks, which is automated, then secure access to banking systems. I work with this tool in banking. When employees log into core banking, trading, and payments systems, Workspace ONE ensures the device is compliant, disk encryption is enabled, antivirus is active, and there are no jailbroken or rooted devices. Throughout the day, I also help reduce help desk tickets. I engage in real-time security monitoring, apply automated fixes without human intervention, and handle end-of-day reporting.
We have both power users and casual users, and the scope of Workspace ONE Intelligence usage is across the entire bank in all branches, not just one department.
What is most valuable?
The best features of Workspace ONE Intelligence for my day-to-day work include Digital Employee Experience analytics, real-time device risk and compliance monitoring, automated remediation with self-healing capabilities, advanced analytics and dashboards, event-driven automation, security integration, predictive insights, proactive IT, centralized reporting for audits, cross-platform coverage, and integration with Workspace ONE UEM.
Workspace ONE Intelligence has significantly impacted my organization overall by shifting the operation from reactive to proactive IT. It has reduced the help desk load, provided a stronger security posture, improved visibility across the enterprise, automated routine IT work, especially in banking-specific contexts, enhanced employee productivity, and optimized costs, leading to a cultural shift in IT teams.
What needs improvement?
During implementation, we identified some features that I'm not actually using today, such as advanced predictive analytics and Digital Employee Experience scoring, along with real-time self-healing at scale.
The biggest friction point I hit with Workspace ONE Intelligence is the high complexity of setup, along with data overload, which presents too much information. There's also a skill gap in teams, an over-automation risk, integration challenges, licensing and cost concerns, cultural resistance, and limited real-time action adoption due to the hybrid environment's complexity.
If I could change just one thing about Workspace ONE Intelligence, even something small, it would be to make automation adoption simpler and safer, which would ease my workflow.
For how long have I used the solution?
I have been familiar with Workspace ONE Intelligence for about five years.
Which solution did I use previously and why did I switch?
Before landing on Workspace ONE Intelligence, we did not use any other tools, but IT teams ran periodic compliance reports weekly and monthly, performed Excel exports from MDM and SCCM, and conducted manual checks for missing patches, encryption status, and antivirus status. Security patch management was achieved through planned manual rollouts, and incident handling required employees to report issues via help desk tickets, which IT investigated manually. For device performance monitoring, we had no real-time visibility, discovering issues only after user complaints, and security enforcement relied on inconsistent manual rules enforcement. Tracking software deployment meant IT teams manually tracked which devices had which version of software, and which installations failed.
How was the initial setup?
When we first implemented Workspace ONE Intelligence at the bank, it took about five weeks to get everything up and running, and while it was intuitive, the team also needed formal training.
What was our ROI?
I can provide numbers around those improvements. During the early adoption stage, we saw a reduction in help desk tickets of 10% to 25%. In mature development, this figure improved to 25% to 45%, and later in a highly automated environment, the reduction in help desk tickets reached 40% to 60%.
Which other solutions did I evaluate?
During our evaluation of solutions, we compared Workspace ONE Intelligence to Microsoft Intune.
We ultimately chose Workspace ONE Intelligence over Intune because it is strong in hybrid plus complex environments, offering advanced automation and better visibility. It enhances the Digital Employee Experience, provides strong governance for enterprise security, showcases multi-platform strength, and has robust integration capability, making it better for large-scale operations. The key advantage lies in its strong event-driven workflows, analytics, and deep insights into device and user experiences. It provides strong hybrid support with VMware and multi-cloud integration, and customization is highly configurable for enterprise policies.
What other advice do I have?
My advice to someone considering Workspace ONE Intelligence, who has a similar workflow to mine, is to start small and not attempt a big bang approach. Focus on outcomes, not just features, invest in automation gradually, clean your data first, avoid overbuilding dashboards, align IT and security early, train teams properly, and treat it as a platform, not just a tool. Measure everything, and in banking environments, be conservative; avoid aggressive auto-remediation initially, introduce approval workflows, and utilize audit logging from day one. I would rate this product as an eight out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other