An IT supporter securely connects to a device using TeamViewer remote connectivity.
This is the trusted remote support experience millions of people rely on across IT and operational technology (OT) environments.
Building the autonomous workplace
What if every IT fix could improve the next one—and eventually eliminate the issue entirely?
Organizations today are managing an ever-growing volume and diversity of devices across increasingly complex IT estates. At the same time, employees expect technology to work seamlessly whether they’re at home, managing a retail checkout, or working on the front line.
For IT teams, this creates a major challenge: ticket volumes continue to rise, but reactive support can only scale so far.
That's why the move toward proactive and predictive IT operations is becoming a necessity.
Leading digital workplace platform TeamViewer ONE aggregates remote connectivity, endpoint management and digital employee experience (DEX) solutions, in a single AI-powered solution. This empowers IT teams to troubleshoot faster, capture operational knowledge, and proactively uncover sources of digital friction.
But it's only the beginning.
The vision is the autonomous digital workplace: a workplace where endpoints are continuously monitored, intelligently orchestrated, and autonomously remediated, enabling IT teams to shift from managing issues to governing outcomes.
This is the future TeamViewer ONE is building.
Watch below to see how we’re shaping the autonomous workplace in real time.
Turning every fix into progress
In the remainder of this article, we’ll examine how TeamViewer ONE helps organizations move from reactive support toward proactive, predictive, and eventually autonomous IT operations.
This process doesn’t happen overnight. Instead, the autonomous workplace is built through a process of continuous improvement: identifying issues earlier, resolving them faster, and turning every successful fix into reusable knowledge.
Crucially, this autonomy is always conditional on a strong foundation of trust: it only works because we've seen how things were fixed in the past and built enough trust to now fix them without human intervention.
Doing this requires an intelligence layer that can support technicians in the moment, capture what worked, and use that knowledge to improve future outcomes.
That intelligence layer is Tia, the TeamViewer Intelligent Agent. At the center of TeamViewer ONE, Tia helps IT support teams resolve issues, capture insights across the digital workplace, and continuously improve the digital experience over time.
The right side of the flywheel demonstrates how TeamViewer’s AI features improve support workflows inside the IT help desk environment.
While the left side shows how AI-powered insights draw on accumulated support knowledge to predict and prevent issues across the wider IT estate.
Below is a step-by-step walkthrough of how the flywheel works in practice.
AI-assisted support and knowledge capture
(right side)
The learning cycle begins when an employee experiences a technical issue.
While the support session is taking place, Tia helps supporters troubleshoot faster by analyzing device data and surfacing relevant fixes from previous support interactions.
Instead of searching through documentation or relying entirely on memory, supporters receive contextual recommendations during the session. This reduces troubleshooting time and improves consistency.
TeamViewer will extend these capabilities by allowing Tia to automatically diagnose and resolve common issues during real-time sessions.
This has the power to take considerable stress off overworked support teams. Markus Gremmelmaier, Senior Product Manager at TeamViewer, explains:
“This will further reduce manual effort and allow IT teams to focus more of their time on strategic work instead of dealing with repetitive support tasks.”
Markus Gremmelmaier
Senior Product Manager at TeamViewer
From a security standpoint, it’s important to emphasize that, although remediations will be autonomously executed by Tia, they’ll remain under strict human oversight, ensuring accountability and control.
Once the issue is resolved, Session Insights automatically documents the session.
It captures troubleshooting steps, actions taken, and outcomes, creating a structured audit-ready summary without the supporter needing to lift a finger.
Tia scripting then turns proven Session Insights into reusable scripts that can be deployed across devices and environments. Instead of solving the same issue repeatedly, teams can standardize successful resolutions and scale them across the organization.
Customers are already seeing up to 25% higher IT support efficiency by saving valuable minutes on every support interaction.
Soon, TeamViewer AI will take the next step by transforming proven fixes into automations. This will allow organizations to continuously and automatically remediate recurring issues at scale, further reducing manual effort and bringing them closer to autonomous endpoint management (AEM).
Predictive IT and autonomous resolution
(left side)
While TeamViewer AI and TeamViewer DEX already deliver value independently today, the next stage of TeamViewer ONE is about connecting those capabilities into a more unified and intelligent workflow.
The goal is to combine endpoint visibility, AI-generated operational knowledge, and automation into a continuous feedback loop that identifies, understands, and autonomously remediates issues across the digital workplace.
TeamViewer ONE’s automation capability helps uncover unreported sources of digital friction and underlying issues before employees report them.
“The TeamViewer ONE platform continuously collects and analyzes endpoint data to detect deviations from normal behavior patterns,” says Markus. “That allows IT teams to surface issues proactively, whether it’s a problematic software update, a patch failure, or degrading device performance, before users are impacted.”
This is especially important for “silent sufferers,” aka employees who experience poor digital experiences but don’t report issues to IT. Oftentimes, frustration leads them to adopt unofficial workarounds or shadow IT solutions, which in turn can lead to security, compliance, and operational risks.
Using natural language queries, admins can interact with TeamViewer DEX data to build dashboards that make it easier to identify trends and understand the sources of digital friction across the organization.
Soon, TeamViewer ONE will bring together endpoint visibility and telemetry with AI-generated session knowledge, creating a more unified and intelligent workflow for IT teams.
“This will allow teams to apply knowledge more proactively across the wider IT estate,” says Markus. He continues, “That’s important because IT teams often see tickets coming in for the same problem, but they don’t always know how many devices are actually affected.”
Once affected endpoints have been identified, Tia steps in to determine the most effective resolution.
Drawing on knowledge captured from previous support sessions, Tia identifies trending issues, surfaces likely root causes, and recommends proven fixes alongside reusable scripts that can be deployed across affected devices.
“If you have an issue affecting 20 endpoints and two of them have already been successfully fixed, it becomes much easier to scale that resolution,” says Markus. “Teams can take the AI-generated script based on those previous fixes and apply it across the remaining affected devices.”
This is where the connection between endpoint telemetry and AI becomes especially powerful. TeamViewer ONE can identify patterns and surface opportunities for automation, while Session Insights and scripting provide the knowledge needed to turn proven fixes into scalable remediation workflows.
Instead of reacting to tickets one by one, IT teams can identify every affected endpoint, understand which resolutions have already proven successful, and use that knowledge to scale remediation across their environment.
The final stage is autonomous remediation.
By combining proactive endpoint visibility with operational knowledge captured through TeamViewer AI, organizations will be able to move beyond identifying issues and begin resolving them automatically at scale.
Using TeamViewer ONE, IT teams will be able to test and deploy intelligent automations across their environment using custom code created by an administrator or through generative AI, maintaining full visibility and control.
This reduces repetitive manual remediation and allows organizations to continuously improve digital workplace performance across thousands of endpoints simultaneously.
Rather than repeatedly solving the same problems, IT teams can focus more of their time on strategic work while TeamViewer ONE automates recurring operational tasks in the background.
Summary
The autonomous workplace is about helping IT teams move beyond firefighting and toward proactive, predictive, and scalable operations.
Today, TeamViewer ONE already combines AI-assisted support, automated knowledge capture, AI scripting, and endpoint visibility and telemetry to help organizations troubleshoot faster and uncover digital friction across their environments.
Very soon, it will bring these capabilities together into one continuous intelligence cycle, where proactive endpoint visibility and AI-driven operational knowledge work hand in hand to identify, understand, and remediate issues at scale.
Tim McHutchison
Senior Content Marketing Manager at TeamViewer
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With a background in various technology-based marketing roles, Tim enjoys staying on top of industry trends and creating content that resonates with tech enthusiasts.
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