Gartner<\/a>\u00a0around Digital Workplace Operations and Automation (DWOA) platforms, which emphasizes proactive,\u00a0automated\u00a0and experience-centric IT operations.\u00a0\u00a0<\/p>\nFrom insight to action\u00a0<\/p>\n
A new approach\u00a0is taking shape that connects telemetry, intelligence, and action into a continuous system. Endpoints generate real-time data about performance, configuration, and user experience. AI analyzes\u00a0that data\u00a0to\u00a0identify\u00a0anomalies and\u00a0determine\u00a0likely root\u00a0causes. Automation then executes remediation without waiting for human intervention.\u00a0<\/p>\n
The process is not a simple workflow. It is continuous and adaptive. Systems learn from patterns, adjust to changing conditions, and act in real time.\u00a0\u00a0<\/p>\n
This is where artificial intelligence (AI) moves beyond\u00a0assistance\u00a0and into true decision-making. Traditional automation relies on predefined rules and predictable conditions, which limits its effectiveness in today\u2019s highly dynamic environments. Agentic AI changes that by introducing contextual awareness, enabling systems to interpret multiple signals simultaneously and\u00a0determine\u00a0the most\u00a0appropriate course\u00a0of action in real time.\u00a0<\/p>\n
The impact is already becoming clear. Gartner\u00ae\u00a0predicts\u00a0\u201cBy 2030\u202fAI assistants,\u202fAI agents\u202fand AI-powered automation will result in at least a 75% reduction in digital workplace tickets\u202frequiring human intervention.\u00a0Early successes include 87% faster patching with minimal impact on DEX caused by disruptions.1\u201d\u00a0<\/p>\n
Early capabilities are also delivering measurable operational gains, including reductions in patch cycle times of up to 87 percent.1\u00a0<\/p>\n
The barrier is not technology, it is mindset\u00a0<\/p>\n
Despite the progress, adoption is not moving as quickly as\u00a0the technology\u00a0itself. Many organizations are still applying AI to low-risk, low-value use cases. Cultural inertia plays a significant role. IT teams have long\u00a0operated\u00a0in environments where stability and control are paramount, and that has created a natural reluctance to trust autonomous systems.\u00a0<\/p>\n
That hesitation is becoming harder to justify. Organizations that\u00a0fail to\u00a0evolve toward more autonomous operations risk falling behind in both efficiency and cost. Gartner further predicts\u00a0\u201cBy 2029, over 50% of heads of I&O\u202fwho fail to enable autonomous operations will be replaced due to inefficiencies, errors, and higher costs.1\u201d\u00a0<\/p>\n
The challenge is no longer whether\u00a0the technology\u00a0works. It is whether organizations are willing to change how they\u00a0operate.\u00a0<\/p>\n
IT moves from fixing to enabling\u00a0<\/p>\n
As systems take on more operational work, the role of IT begins to shift. Less time is spent resolving repetitive incidents. More time is spent shaping the environment, defining policies, and improving outcomes.\u00a0<\/p>\n
This shift is already influencing how organizations think about talent. Technical\u00a0expertise\u00a0remains\u00a0essential, but it is no longer the only differentiator. As routine tasks are automated, skills like adaptability, communication, and empathy become more important. More than a third of organizations are expected to prioritize these qualities in digital workplace roles in the coming years.\u00a0<\/p>\n
At the same time, the boundaries between IT and\u00a0the business\u00a0are becoming less defined. Delivering a seamless digital experience requires collaboration across functions, particularly with HR and business\u00a0teams. Organizations that embrace this multidisciplinary approach are significantly more likely to achieve positive outcomes.\u00a0<\/p>\n
A shift from tools to outcomes\u00a0<\/p>\n
For years, digital workplace strategy\u00a0was\u00a0driven by tools. New platforms, new dashboards, and new layers of visibility defined progress. That model is giving way to something more\u00a0outcome-focused.\u00a0<\/p>\n
What matters now is not how much data IT can collect, but what it can do with it. Reduced disruption, improved productivity, and stronger employee experience are becoming the primary measures of success. This outcome-driven model is also central to\u00a0emerging\u00a0DWOA strategies, which unify monitoring, analytics and automation into a single operational discipline focused on employee experience and business impact.\u00a0<\/p>\n
This is where Autonomous Endpoint Management (AEM) enters the conversation. It\u00a0represents\u00a0the convergence of visibility, AI-driven intelligence, and automated action into a single operating model. It closes the gap between knowing and\u00a0doing. As recent Gartner research2\u00a0states \u201cThe rise of AI\u202fagents will significantly increase the potential for many IT functions to happen without human intervention, but it will be a challenge for both vendors and IT organizations to increase their autonomous capabilities\u202for\u202ftools.2\u201d\u00a0<\/p>\n
When problems disappear before they are seen\u00a0<\/p>\n
Endpoints are no longer just devices to manage. They are the primary interface between employees and the business. Every delay or disruption has a direct impact on productivity and\u00a0perception.\u00a0<\/p>\n
By continuously\u00a0monitoring, analyzing, and\u00a0optimizing\u00a0performance, intelligent systems are beginning to change that experience. Issues\u00a0are\u00a0detected earlier. Root causes are\u00a0identified\u00a0faster. Remediation happens automatically.\u00a0<\/p>\n
In many cases, the user never notices\u00a0anything\u00a0went wrong. That is the real promise of this shift. Not faster response times, but fewer visible problems altogether. This is the foundation of AEM, where AI-driven systems increasingly\u00a0operate\u00a0independently to\u00a0maintain\u00a0device health, enforce policies, and\u00a0optimize\u00a0performance without human intervention.\u00a0\u00a0<\/p>\n
\u201cBy 2029,\u202fover 50% of organizations will adopt AEM capabilities within advanced endpoint management and DEX tools,\u202fan increase from 15% in 2026.1\u201d\u00a0<\/p>\n
As that happens, expectations will change. Technology will be judged less by how quickly it can be fixed and more by how rarely it fails in the first place.\u00a0<\/p>\n
For IT teams that have spent years reacting, it marks a fundamental shift in how their role is defined.\u00a0<\/p>\n
1,3\u00a0Gartner, Inc., \u201cPredicts 2026: AI Will Shift Digital Workplace Focus\u00a0From\u00a0Tools to AI-Augmented People,\u201d\u00a0Robin Milton-Schonemann, Autumn Stanish, Stuart Downes, Todd Larivee, Tom Cipolla, Hanne Nieberg, LJ Justice, Tori Paulman, Erin Pierre,\u00a0December 24,\u00a02025\u00a0.\u00a0Gartner\u00a0is\u00a0a trademark of Gartner, Inc. and\/or its affiliates\u00a0\u00a0<\/p>\n
2\u00a0Gartner, Inc., \u201cThe Impact of AI Agents on Digital Workplace IT Operations,\u201d Stuart Downes, Autumn Stanish, September 16, 2025\u00a0<\/p>\n
About the Author\u00a0<\/p>\n
Simon Townsend is a prominent end user computing technology evangelist,\u00a0marketer\u00a0and thought leader. As Senior Vice President of Marketing and Head of the Office of the CTO, he leads the company\u2019s marketing strategy and team of digital, field, channel and product marketers and technical experts, worldwide. He joins\u00a0ControlUp\u00a0from IGEL where he served as Field CTO for EMEA and Chief Marketing Officer, overseeing field, digital and product marketing functions. With more than 20 years of experience in the end-user computing market, Townsend has held leadership positions in marketing, product marketing, product\u00a0management\u00a0and global systems engineering for several enterprise software companies including Ivanti, AppSense, Servo and Westcon UK.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"For years, enterprise IT has been caught in a familiar cycle. Something breaks, a ticket is created, a…\n","protected":false},"author":2,"featured_media":85101,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,7493],"class_list":["post-85100","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-agentic-ai","tag-agentic-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/85100","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=85100"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/85100\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/85101"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=85100"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=85100"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=85100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}